def __init__(self, datatype, filenames, options):
self.hfile = list()
self.legend_text = list()
for f in filenames:
self.hfile.append(open(f, "r"))
self.legend_text.append(f)
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype(
).nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 9), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file_pos = figtext(0.10,
0.88,
"File Position: ",
weight="heavy",
size=self.text_size)
self.text_block = figtext(0.40,
0.88, ("Block Size: %d" % self.block_length),
weight="heavy",
size=self.text_size)
self.text_sr = figtext(0.60,
0.88, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy",
size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05],
frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(
self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05],
frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(
self.button_right_click)
self.xlim = self.sp_f.get_xlim()
self.manager = get_current_fig_manager()
connect('key_press_event', self.click)
show()
def __init__(self, datatype, filename, options):
self.hfile = open(filename, "r")
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.psdfftsize = options.psd_size
self.specfftsize = options.spec_size
self.dospec = options.enable_spec # if we want to plot the spectrogram
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 12), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file = figtext(0.10, 0.95, ("File: %s" % filename),
weight="heavy", size=self.text_size)
self.text_file_pos = figtext(0.10, 0.92, "File Position: ",
weight="heavy", size=self.text_size)
self.text_block = figtext(0.35, 0.92, ("Block Size: %d" % self.block_length),
weight="heavy", size=self.text_size)
self.text_sr = figtext(0.60, 0.915, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy", size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
self.xlim = numpy.array(self.sp_iq.get_xlim())
self.manager = get_current_fig_manager()
connect('draw_event', self.zoom)
connect('key_press_event', self.click)
show()
def __init__(self, datatype, filenames, options):
self.hfile = list()
self.legend_text = list()
for f in filenames:
self.hfile.append(open(f, "r"))
self.legend_text.append(f)
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 9), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size)
self.text_block = figtext(0.40, 0.88, ("Block Size: %d" % self.block_length),
weight="heavy", size=self.text_size)
self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy", size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
self.xlim = self.sp_f.get_xlim()
self.manager = get_current_fig_manager()
connect('key_press_event', self.click)
show()
def __init__(self, datatype, filename, options):
self.hfile = open(filename, "r")
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.psdfftsize = options.psd_size
self.specfftsize = options.spec_size
self.dospec = options.enable_spec # if we want to plot the spectrogram
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype(
).nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 12), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file = figtext(0.10,
0.95, ("File: %s" % filename),
weight="heavy",
size=self.text_size)
self.text_file_pos = figtext(0.10,
0.92,
"File Position: ",
weight="heavy",
size=self.text_size)
self.text_block = figtext(0.35,
0.92, ("Block Size: %d" % self.block_length),
weight="heavy",
size=self.text_size)
self.text_sr = figtext(0.60,
0.915, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy",
size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05],
frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(
self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05],
frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(
self.button_right_click)
self.xlim = numpy.array(self.sp_iq.get_xlim())
self.manager = get_current_fig_manager()
connect('draw_event', self.zoom)
connect('key_press_event', self.click)
show()
class plot_psd_base(object):
def __init__(self, datatype, filename, options):
self.hfile = open(filename, "r")
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.psdfftsize = options.psd_size
self.specfftsize = options.spec_size
self.dospec = options.enable_spec # if we want to plot the spectrogram
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype(
).nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 12), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file = figtext(0.10,
0.95, ("File: %s" % filename),
weight="heavy",
size=self.text_size)
self.text_file_pos = figtext(0.10,
0.92,
"File Position: ",
weight="heavy",
size=self.text_size)
self.text_block = figtext(0.35,
0.92, ("Block Size: %d" % self.block_length),
weight="heavy",
size=self.text_size)
self.text_sr = figtext(0.60,
0.915, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy",
size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05],
frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(
self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05],
frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(
self.button_right_click)
self.xlim = numpy.array(self.sp_iq.get_xlim())
self.manager = get_current_fig_manager()
connect('draw_event', self.zoom)
connect('key_press_event', self.click)
show()
def get_data(self):
self.position = self.hfile.tell() / self.sizeof_data
self.text_file_pos.set_text("File Position: %d" % self.position)
try:
self.iq = numpy.fromfile(self.hfile,
dtype=self.datatype,
count=self.block_length)
except MemoryError:
print("End of File")
return False
else:
# retesting length here as newer version of numpy does not throw a MemoryError, just
# returns a zero-length array
if (len(self.iq) > 0):
tstep = 1.0 / self.sample_rate
#self.time = numpy.array([tstep*(self.position + i) for i in range(len(self.iq))])
self.time = numpy.array(
[tstep * (i) for i in range(len(self.iq))])
self.iq_psd, self.freq = self.dopsd(self.iq)
return True
else:
print("End of File")
return False
def dopsd(self, iq):
''' Need to do this here and plot later so we can do the fftshift '''
overlap = self.psdfftsize / 4
winfunc = numpy.blackman
psd, freq = mlab.psd(iq,
self.psdfftsize,
self.sample_rate,
window=lambda d: d * winfunc(self.psdfftsize),
noverlap=overlap)
psd = 10.0 * numpy.log10(abs(psd))
return (psd, freq)
def make_plots(self):
# if specified on the command-line, set file pointer
self.hfile.seek(self.sizeof_data * self.start, 1)
iqdims = [[0.075, 0.2, 0.4, 0.6], [0.075, 0.55, 0.4, 0.3]]
psddims = [[0.575, 0.2, 0.4, 0.6], [0.575, 0.55, 0.4, 0.3]]
specdims = [0.2, 0.125, 0.6, 0.3]
# Subplot for real and imaginary parts of signal
self.sp_iq = self.fig.add_subplot(2,
2,
1,
position=iqdims[self.dospec])
self.sp_iq.set_title(("I&Q"),
fontsize=self.title_font_size,
fontweight="bold")
self.sp_iq.set_xlabel("Time (s)",
fontsize=self.label_font_size,
fontweight="bold")
self.sp_iq.set_ylabel("Amplitude (V)",
fontsize=self.label_font_size,
fontweight="bold")
# Subplot for PSD plot
self.sp_psd = self.fig.add_subplot(2,
2,
2,
position=psddims[self.dospec])
self.sp_psd.set_title(("PSD"),
fontsize=self.title_font_size,
fontweight="bold")
self.sp_psd.set_xlabel("Frequency (Hz)",
fontsize=self.label_font_size,
fontweight="bold")
self.sp_psd.set_ylabel("Power Spectrum (dBm)",
fontsize=self.label_font_size,
fontweight="bold")
r = self.get_data()
self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals
self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags
self.draw_time(self.time, self.iq) # draw the plot
self.plot_psd = self.sp_psd.plot([], 'b') # make plot for PSD
self.draw_psd(self.freq, self.iq_psd) # draw the plot
if self.dospec:
# Subplot for spectrogram plot
self.sp_spec = self.fig.add_subplot(2, 2, 3, position=specdims)
self.sp_spec.set_title(("Spectrogram"),
fontsize=self.title_font_size,
fontweight="bold")
self.sp_spec.set_xlabel("Time (s)",
fontsize=self.label_font_size,
fontweight="bold")
self.sp_spec.set_ylabel("Frequency (Hz)",
fontsize=self.label_font_size,
fontweight="bold")
self.draw_spec(self.time, self.iq)
draw()
def draw_time(self, t, iq):
reals = iq.real
imags = iq.imag
self.plot_iq[0].set_data([t, reals])
self.plot_iq[1].set_data([t, imags])
self.sp_iq.set_xlim(t.min(), t.max())
self.sp_iq.set_ylim([
1.5 * min([reals.min(), imags.min()]),
1.5 * max([reals.max(), imags.max()])
])
def draw_psd(self, f, p):
self.plot_psd[0].set_data([f, p])
self.sp_psd.set_ylim([p.min() - 10, p.max() + 10])
self.sp_psd.set_xlim([f.min(), f.max()])
def draw_spec(self, t, s):
overlap = self.specfftsize / 4
winfunc = numpy.blackman
self.sp_spec.clear()
self.sp_spec.specgram(s,
self.specfftsize,
self.sample_rate,
window=lambda d: d * winfunc(self.specfftsize),
noverlap=overlap,
xextent=[t.min(), t.max()])
def update_plots(self):
self.draw_time(self.time, self.iq)
self.draw_psd(self.freq, self.iq_psd)
if self.dospec:
self.draw_spec(self.time, self.iq)
self.xlim = numpy.array(
self.sp_iq.get_xlim()) # so zoom doesn't get called
draw()
def zoom(self, event):
newxlim = numpy.array(self.sp_iq.get_xlim())
curxlim = numpy.array(self.xlim)
if (newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]):
#xmin = max(0, int(ceil(self.sample_rate*(newxlim[0] - self.position))))
#xmax = min(int(ceil(self.sample_rate*(newxlim[1] - self.position))), len(self.iq))
xmin = max(0, int(ceil(self.sample_rate * (newxlim[0]))))
xmax = min(int(ceil(self.sample_rate * (newxlim[1]))),
len(self.iq))
iq = numpy.array(self.iq[xmin:xmax])
time = numpy.array(self.time[xmin:xmax])
iq_psd, freq = self.dopsd(iq)
self.draw_psd(freq, iq_psd)
self.xlim = numpy.array(self.sp_iq.get_xlim())
draw()
def click(self, event):
forward_valid_keys = [" ", "down", "right"]
backward_valid_keys = ["up", "left"]
if (find(event.key, forward_valid_keys)):
self.step_forward()
elif (find(event.key, backward_valid_keys)):
self.step_backward()
def button_left_click(self, event):
self.step_backward()
def button_right_click(self, event):
self.step_forward()
def step_forward(self):
r = self.get_data()
if (r):
self.update_plots()
def step_backward(self):
# Step back in file position
if (self.hfile.tell() >= 2 * self.sizeof_data * self.block_length):
self.hfile.seek(-2 * self.sizeof_data * self.block_length, 1)
else:
self.hfile.seek(-self.hfile.tell(), 1)
r = self.get_data()
if (r):
self.update_plots()
@staticmethod
def setup_options():
description = "Takes a GNU Radio binary file (with specified data type using --data-type) and displays the I&Q data versus time as well as the power spectral density (PSD) plot. The y-axis values are plotted assuming volts as the amplitude of the I&Q streams and converted into dBm in the frequency domain (the 1/N power adjustment out of the FFT is performed internally). The script plots a certain block of data at a time, specified on the command line as -B or --block. The start position in the file can be set by specifying -s or --start and defaults to 0 (the start of the file). By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time and frequency axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples. Finally, the size of the FFT to use for the PSD and spectrogram plots can be set independently with --psd-size and --spec-size, respectively. The spectrogram plot does not display by default and is turned on with -S or --enable-spec."
parser = ArgumentParser(conflict_handler="resolve",
description=description)
parser.add_argument("-d",
"--data-type",
default="complex64",
choices=("complex64", "float32", "int32", "uint32",
"int16", "uint16", "int8", "uint8"),
help="Specify the data type [default=%(default)r]")
parser.add_argument(
"-B",
"--block",
type=int,
default=8192,
help="Specify the block size [default=%(default)r]")
parser.add_argument(
"-s",
"--start",
type=int,
default=0,
help="Specify where to start in the file [default=%(default)r]")
parser.add_argument(
"-R",
"--sample-rate",
type=eng_float,
default=1.0,
help="Set the sampler rate of the data [default=%(default)r]")
parser.add_argument(
"--psd-size",
type=int,
default=1024,
help="Set the size of the PSD FFT [default=%(default)r]")
parser.add_argument(
"--spec-size",
type=int,
default=256,
help="Set the size of the spectrogram FFT [default=%(default)r]")
parser.add_argument(
"-S",
"--enable-spec",
action="store_true",
help="Turn on plotting the spectrogram [default=%(default)r]")
parser.add_argument("file",
metavar="FILE",
help="Input file with samples")
return parser
class plot_fft_base(object):
def __init__(self, datatype, filename, options):
self.hfile = open(filename, "r")
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 12), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file = figtext(0.10, 0.94, ("File: %s" % filename), weight="heavy", size=self.text_size)
self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size)
self.text_block = figtext(0.35, 0.88, ("Block Size: %d" % self.block_length),
weight="heavy", size=self.text_size)
self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy", size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
self.xlim = self.sp_iq.get_xlim()
self.manager = get_current_fig_manager()
connect('draw_event', self.zoom)
connect('key_press_event', self.click)
show()
def get_data(self):
self.position = self.hfile.tell() / self.sizeof_data
self.text_file_pos.set_text("File Position: %d" % (self.position))
try:
self.iq = numpy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)
except MemoryError:
print("End of File")
else:
self.iq_fft = self.dofft(self.iq)
tstep = 1.0 / self.sample_rate
#self.time = numpy.array([tstep*(self.position + i) for i in range(len(self.iq))])
self.time = numpy.array([tstep*(i) for i in range(len(self.iq))])
self.freq = self.calc_freq(self.time, self.sample_rate)
def dofft(self, iq):
N = len(iq)
iq_fft = numpy.fft.fftshift(numpy.fft.fft(iq)) # fft and shift axis
iq_fft = 20*numpy.log10(abs((iq_fft+1e-15) / N)) # convert to decibels, adjust power
# adding 1e-15 (-300 dB) to protect against value errors if an item in iq_fft is 0
return iq_fft
def calc_freq(self, time, sample_rate):
N = len(time)
Fs = 1.0 / (max(time) - min(time))
Fn = 0.5 * sample_rate
freq = numpy.array([-Fn + i*Fs for i in range(N)])
return freq
def make_plots(self):
# if specified on the command-line, set file pointer
self.hfile.seek(self.sizeof_data*self.start, 1)
# Subplot for real and imaginary parts of signal
self.sp_iq = self.fig.add_subplot(2,2,1, position=[0.075, 0.2, 0.4, 0.6])
self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold")
self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold")
# Subplot for FFT plot
self.sp_fft = self.fig.add_subplot(2,2,2, position=[0.575, 0.2, 0.4, 0.6])
self.sp_fft.set_title(("FFT"), fontsize=self.title_font_size, fontweight="bold")
self.sp_fft.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
self.sp_fft.set_ylabel("Power Spectrum (dBm)", fontsize=self.label_font_size, fontweight="bold")
self.get_data()
self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals
self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags
self.draw_time() # draw the plot
self.plot_fft = self.sp_fft.plot([], 'bo-') # make plot for FFT
self.draw_fft() # draw the plot
draw()
def draw_time(self):
reals = self.iq.real
imags = self.iq.imag
self.plot_iq[0].set_data([self.time, reals])
self.plot_iq[1].set_data([self.time, imags])
self.sp_iq.set_xlim(self.time.min(), self.time.max())
self.sp_iq.set_ylim([1.5*min([reals.min(), imags.min()]),
1.5*max([reals.max(), imags.max()])])
def draw_fft(self):
self.plot_fft[0].set_data([self.freq, self.iq_fft])
self.sp_fft.set_xlim(self.freq.min(), self.freq.max())
self.sp_fft.set_ylim([self.iq_fft.min()-10, self.iq_fft.max()+10])
def update_plots(self):
self.draw_time()
self.draw_fft()
self.xlim = self.sp_iq.get_xlim()
draw()
def zoom(self, event):
newxlim = numpy.array(self.sp_iq.get_xlim())
curxlim = numpy.array(self.xlim)
if(newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]):
self.xlim = newxlim
#xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0] - self.position))))
#xmax = min(int(ceil(self.sample_rate*(self.xlim[1] - self.position))), len(self.iq))
xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0]))))
xmax = min(int(ceil(self.sample_rate*(self.xlim[1]))), len(self.iq))
iq = self.iq[xmin : xmax]
time = self.time[xmin : xmax]
iq_fft = self.dofft(iq)
freq = self.calc_freq(time, self.sample_rate)
self.plot_fft[0].set_data(freq, iq_fft)
self.sp_fft.axis([freq.min(), freq.max(),
iq_fft.min()-10, iq_fft.max()+10])
draw()
def click(self, event):
forward_valid_keys = [" ", "down", "right"]
backward_valid_keys = ["up", "left"]
if(find(event.key, forward_valid_keys)):
self.step_forward()
elif(find(event.key, backward_valid_keys)):
self.step_backward()
def button_left_click(self, event):
self.step_backward()
def button_right_click(self, event):
self.step_forward()
def step_forward(self):
self.get_data()
self.update_plots()
def step_backward(self):
# Step back in file position
if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ):
self.hfile.seek(-2*self.sizeof_data*self.block_length, 1)
else:
self.hfile.seek(-self.hfile.tell(),1)
self.get_data()
self.update_plots()
@staticmethod
def setup_options():
description = "Takes a GNU Radio complex binary file and displays the I&Q data versus time as well as the frequency domain (FFT) plot. The y-axis values are plotted assuming volts as the amplitude of the I&Q streams and converted into dBm in the frequency domain (the 1/N power adjustment out of the FFT is performed internally). The script plots a certain block of data at a time, specified on the command line as -B or --block. This value defaults to 1000. The start position in the file can be set by specifying -s or --start and defaults to 0 (the start of the file). By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time and frequency axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples."
parser = ArgumentParser(conflict_handler="resolve", description=description)
parser.add_argument("-d", "--data-type", default="complex64",
choices=("complex64", "float32", "uint32", "int32", "uint16",
"int16", "uint8", "int8"),
help="Specify the data type [default=%(default)r]")
parser.add_argument("-B", "--block", type=int, default=1000,
help="Specify the block size [default=%(default)r]")
parser.add_argument("-s", "--start", type=int, default=0,
help="Specify where to start in the file [default=%(default)r]")
parser.add_argument("-R", "--sample-rate", type=float, default=1.0,
help="Set the sampler rate of the data [default=%(default)r]")
parser.add_argument("file", metavar="FILE",
help="Input file with samples")
return parser
def __init__(self, datatype, filename, options):
self.hfile = open(filename, "r")
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.bw = options.sample_rate
self.psdfftsize = options.psd_size
self.specfftsize = options.spec_size
self.sf = options.spreading_factor
self.number_of_bins = 1 << self.sf
self.samples_per_symbol = self.sample_rate * self.number_of_bins / self.bw
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype(
).nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# TODO fix this the right manner
self.xlim = np.array([10, 20])
# Setup PLOT
self.fig = figure(1, figsize=(16, 12), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file = figtext(0.10,
0.95, ("File: %s" % filename) +
(" SF: %s" % self.sf),
weight="heavy",
size=self.text_size)
self.text_file_pos = figtext(0.10,
0.92,
"Position: ",
weight="heavy",
size=self.text_size)
self.text_block = figtext(0.35,
0.92, ("Block Size: %d" % self.block_length),
weight="heavy",
size=self.text_size)
self.text_sr = figtext(0.60,
0.915, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy",
size=self.text_size)
self.make_plots()
# info for buttons etc
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05],
frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(
self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05],
frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(
self.button_right_click)
self.manager = get_current_fig_manager()
connect('draw_event', self.zoom)
connect('key_press_event', self.click)
show()
class plot_lora(object):
def __init__(self, datatype, filename, options):
self.hfile = open(filename, "r")
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.bw = options.sample_rate
self.psdfftsize = options.psd_size
self.specfftsize = options.spec_size
self.sf = options.spreading_factor
self.number_of_bins = 1 << self.sf
self.samples_per_symbol = self.sample_rate * self.number_of_bins / self.bw
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype(
).nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# TODO fix this the right manner
self.xlim = np.array([10, 20])
# Setup PLOT
self.fig = figure(1, figsize=(16, 12), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file = figtext(0.10,
0.95, ("File: %s" % filename) +
(" SF: %s" % self.sf),
weight="heavy",
size=self.text_size)
self.text_file_pos = figtext(0.10,
0.92,
"Position: ",
weight="heavy",
size=self.text_size)
self.text_block = figtext(0.35,
0.92, ("Block Size: %d" % self.block_length),
weight="heavy",
size=self.text_size)
self.text_sr = figtext(0.60,
0.915, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy",
size=self.text_size)
self.make_plots()
# info for buttons etc
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05],
frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(
self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05],
frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(
self.button_right_click)
self.manager = get_current_fig_manager()
connect('draw_event', self.zoom)
connect('key_press_event', self.click)
show()
def get_data(self):
self.position = self.hfile.tell() / self.sizeof_data
self.text_file_pos.set_text("Position: %d" % self.position)
try:
self.iq = numpy.fromfile(self.hfile,
dtype=self.datatype,
count=self.block_length)
except MemoryError:
print("End of File")
return False
else:
# retesting length here as newer version of numpy does not throw a MemoryError, just
# returns a zero-length array
if (len(self.iq) > 0):
tstep = 1.0 / self.sample_rate
# self.time = numpy.array([tstep*(self.position + i) for i in range(len(self.iq))])
self.time = numpy.array(
[tstep * (i) for i in range(len(self.iq))])
self.iq_psd, self.freq = self.dopsd(self.iq)
self.downchirped = self.downchrip()
return True
else:
print("End of File")
return False
def dopsd(self, iq):
''' Need to do this here and plot later so we can do the fftshift '''
overlap = self.psdfftsize / 4
winfunc = numpy.blackman
psd, freq = mlab.psd(iq,
self.psdfftsize,
self.sample_rate,
window=lambda d: d * winfunc(self.psdfftsize),
noverlap=overlap)
psd = 10.0 * numpy.log10(abs(psd))
return (psd, freq)
def make_plots(self):
# if specified on the command-line, set file pointer
self.hfile.seek(self.sizeof_data * self.start, 1)
# define positions default is fine for now
iqdims = [0.075, 0.2, 0.4, 0.6]
psddims = [0.575, 0.2, 0.4, 0.6]
specdims = [0.575, 0.2, 0.4, 0.6]
# get data set time etc
r = self.get_data()
# Subplot for spectrogram plot
self.sp_spec = self.fig.add_subplot(2, 2, 1)
self.sp_spec.set_title(("Spectrogram"),
fontsize=self.title_font_size,
fontweight="bold")
self.sp_spec.set_xlabel("Time (s)",
fontsize=self.label_font_size,
fontweight="bold")
self.sp_spec.set_ylabel("Frequency (Hz)",
fontsize=self.label_font_size,
fontweight="bold")
self.draw_spec(self.time, self.iq)
# Subplot for PSD plot
self.sp_psd = self.fig.add_subplot(2, 2, 3)
self.sp_psd.set_title(("PSD"),
fontsize=self.title_font_size,
fontweight="bold")
self.sp_psd.set_xlabel("Frequency (Hz)",
fontsize=self.label_font_size,
fontweight="bold")
self.sp_psd.set_ylabel("Power Spectrum (dBm)",
fontsize=self.label_font_size,
fontweight="bold")
#run dechirped signal
self.downchrip()
self.sp_spec_dechirped = self.fig.add_subplot(2, 2, 2)
self.sp_spec_dechirped.set_title(("Spectrogram demod"),
fontsize=self.title_font_size,
fontweight="bold")
self.sp_spec_dechirped.set_xlabel("Time (s)",
fontsize=self.label_font_size,
fontweight="bold")
self.sp_spec_dechirped.set_ylabel("Frequency (Hz)",
fontsize=self.label_font_size,
fontweight="bold")
self.draw_spec_dechirped(self.time, self.downchirped)
self.plot_psd = self.sp_psd.plot([], 'b') # make plot for PSD
self.draw_psd(self.freq, self.iq_psd) # draw the plot
draw()
def downchrip(self):
N = 1 << self.sf
downchirp = np.zeros((2, 1), dtype=np.complex64)
N_iq = self.iq.size
for i in range(0, N_iq, N):
for n in range(0, N):
#calculate phase
exp = np.exp(-2 * np.pi * (n * n / (2 * N) - 0.5 * n))
#calculate real and imag part
r = np.cos(exp)
i = np.sin(exp) * 1j
downchirp = np.vstack([downchirp, (r + i)])
#delte initial zeros
downchirp = numpy.delete(downchirp, (0), axis=0)
downchirp = numpy.delete(downchirp, (0), axis=0)
#to be sure resize vector
downchirp = np.resize(downchirp, N_iq)
#set downchirped values
self.downchirped = np.multiply(downchirp, self.iq)
print("test")
def draw_time(self, t, iq):
self.sp_spec.set_xlim(t.min(), t.max())
def draw_psd(self, f, p):
self.plot_psd[0].set_data([f, p])
self.sp_psd.set_ylim([p.min() - 10, p.max() + 10])
self.sp_psd.set_xlim([f.min(), f.max()])
def draw_spec(self, t, s):
overlap = self.specfftsize / 4
winfunc = numpy.blackman
self.sp_spec.clear()
self.sp_spec.specgram(s,
self.specfftsize,
self.sample_rate,
window=lambda d: d * winfunc(self.specfftsize),
noverlap=overlap,
xextent=[t.min(), t.max()])
def draw_spec_dechirped(self, t, s):
overlap = self.specfftsize / 4
winfunc = numpy.blackman
self.sp_spec_dechirped.clear()
self.sp_spec_dechirped.specgram(
s,
self.specfftsize,
self.sample_rate,
window=lambda d: d * winfunc(self.specfftsize),
noverlap=overlap,
xextent=[t.min(), t.max()])
def draw_demod(self, t, s):
# demod = gr.ex
overlap = self.specfftsize / 4
winfunc = numpy.blackman
self.sp_spec.clear()
self.sp_spec.specgram(np.abs(s),
self.specfftsize,
self.sample_rate,
window=lambda d: d * winfunc(self.specfftsize),
noverlap=overlap,
xextent=[t.min(), t.max()])
def update_plots(self):
self.draw_time(self.time, self.iq)
self.draw_psd(self.freq, self.iq_psd)
self.draw_spec(self.time, self.iq)
self.downchrip()
self.draw_spec_dechirped(self.time, self.downchirped)
self.xlim = numpy.array(
self.sp_spec.get_xlim()) # so zoom doesn't get called
draw()
def zoom(self, event):
newxlim = numpy.array(self.sp_spec.get_xlim())
curxlim = numpy.array(self.xlim)
if (newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]):
# xmin = max(0, int(ceil(self.sample_rate*(newxlim[0] - self.position))))
# xmax = min(int(ceil(self.sample_rate*(newxlim[1] - self.position))), len(self.iq))
xmin = max(0, int(ceil(self.sample_rate * (newxlim[0]))))
xmax = min(int(ceil(self.sample_rate * (newxlim[1]))),
len(self.iq))
iq = numpy.array(self.iq[xmin:xmax])
time = numpy.array(self.time[xmin:xmax])
iq_psd, freq = self.dopsd(iq)
self.draw_psd(freq, iq_psd)
self.xlim = numpy.array(self.sp_spec.get_xlim())
draw()
def click(self, event):
forward_valid_keys = [" ", "down", "right"]
backward_valid_keys = ["up", "left"]
if (find(event.key, forward_valid_keys)):
self.step_forward()
elif (find(event.key, backward_valid_keys)):
self.step_backward()
def button_left_click(self, event):
self.step_backward()
def button_right_click(self, event):
self.step_forward()
def step_forward(self):
r = self.get_data()
if (r):
self.update_plots()
def step_backward(self):
# Step back in file position
if (self.hfile.tell() >= 2 * self.sizeof_data * self.block_length):
self.hfile.seek(-2 * self.sizeof_data * self.block_length, 1)
else:
self.hfile.seek(-self.hfile.tell(), 1)
r = self.get_data()
if (r):
self.update_plots()
@staticmethod
def setup_options():
description = "."
parser = ArgumentParser(conflict_handler="resolve",
description=description)
parser.add_argument("-d",
"--data-type",
default="complex64",
choices=("complex64", "float32", "int32", "uint32",
"int16", "uint16", "int8", "uint8"),
help="Specify the data type [default=%(default)r]")
parser.add_argument(
"-B",
"--block",
type=int,
default=8192,
help="Specify the block size [default=%(default)r]")
parser.add_argument(
"-s",
"--start",
type=int,
default=0,
help="Specify where to start in the file [default=%(default)r]")
parser.add_argument(
"-R",
"--sample-rate",
type=eng_float,
default=1.0,
help="Set the sampler rate of the data [default=%(default)r]")
parser.add_argument(
"--psd-size",
type=int,
default=1024,
help="Set the size of the PSD FFT [default=%(default)r]")
parser.add_argument(
"--spec-size",
type=int,
default=256,
help="Set the size of the spectrogram FFT [default=%(default)r]")
parser.add_argument(
"-S",
"--enable-spec",
action="store_true",
help="Turn on plotting the spectrogram [default=%(default)r]")
parser.add_argument("file",
metavar="FILE",
help="Input file with samples")
return parser
class plot_data(object):
def __init__(self, datatype, filenames, options):
self.hfile = list()
self.legend_text = list()
for f in filenames:
self.hfile.append(open(f, "r"))
self.legend_text.append(f)
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 9), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size)
self.text_block = figtext(0.40, 0.88, ("Block Size: %d" % self.block_length),
weight="heavy", size=self.text_size)
self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy", size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
self.xlim = self.sp_f.get_xlim()
self.manager = get_current_fig_manager()
connect('key_press_event', self.click)
show()
def get_data(self, hfile):
self.text_file_pos.set_text("File Position: %d" % (hfile.tell()//self.sizeof_data))
try:
f = numpy.fromfile(hfile, dtype=self.datatype, count=self.block_length)
except MemoryError:
print("End of File")
else:
self.f = numpy.array(f)
self.time = numpy.array([i*(1 / self.sample_rate) for i in range(len(self.f))])
def make_plots(self):
self.sp_f = self.fig.add_subplot(2,1,1, position=[0.075, 0.2, 0.875, 0.6])
self.sp_f.set_title(("Amplitude"), fontsize=self.title_font_size, fontweight="bold")
self.sp_f.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
self.sp_f.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold")
self.plot_f = list()
maxval = -1e12
minval = 1e12
for hf in self.hfile:
# if specified on the command-line, set file pointer
hf.seek(self.sizeof_data*self.start, 1)
self.get_data(hf)
# Subplot for real and imaginary parts of signal
self.plot_f += plot(self.time, self.f, 'o-')
maxval = max(maxval, self.f.max())
minval = min(minval, self.f.min())
self.sp_f.set_ylim([1.5*minval, 1.5*maxval])
self.leg = self.sp_f.legend(self.plot_f, self.legend_text)
draw()
def update_plots(self):
maxval = -1e12
minval = 1e12
for hf,p in zip(self.hfile,self.plot_f):
self.get_data(hf)
p.set_data([self.time, self.f])
maxval = max(maxval, self.f.max())
minval = min(minval, self.f.min())
self.sp_f.set_ylim([1.5*minval, 1.5*maxval])
draw()
def click(self, event):
forward_valid_keys = [" ", "down", "right"]
backward_valid_keys = ["up", "left"]
if(find(event.key, forward_valid_keys)):
self.step_forward()
elif(find(event.key, backward_valid_keys)):
self.step_backward()
def button_left_click(self, event):
self.step_backward()
def button_right_click(self, event):
self.step_forward()
def step_forward(self):
self.update_plots()
def step_backward(self):
for hf in self.hfile:
# Step back in file position
if(hf.tell() >= 2*self.sizeof_data*self.block_length ):
hf.seek(-2*self.sizeof_data*self.block_length, 1)
else:
hf.seek(-hf.tell(),1)
self.update_plots()
@staticmethod
def setup_options():
description = "Takes a GNU Radio binary file and displays the samples versus time. You can set the block size to specify how many points to read in at a time and the start position in the file. By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples."
parser = ArgumentParser(conflict_handler="resolve", description=description)
parser.add_argument("-d", "--data-type", default="complex64",
choices=("complex64", "float32", "uint32", "int32", "uint16",
"int16", "uint8", "int8"),
help="Specify the data type [default=%(default)r]")
parser.add_argument("-B", "--block", type=int, default=1000,
help="Specify the block size [default=%(default)r]")
parser.add_argument("-s", "--start", type=int, default=0,
help="Specify where to start in the file [default=%(default)r]")
parser.add_argument("-R", "--sample-rate", type=float, default=1.0,
help="Set the sampler rate of the data [default=%(default)r]")
parser.add_argument("files", metavar="FILE", nargs='+',
help="Input file with samples")
return parser
class plot_data(object):
def __init__(self, datatype, filenames, options):
self.hfile = list()
self.legend_text = list()
for f in filenames:
self.hfile.append(open(f, "r"))
self.legend_text.append(f)
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype(
).nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 9), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file_pos = figtext(0.10,
0.88,
"File Position: ",
weight="heavy",
size=self.text_size)
self.text_block = figtext(0.40,
0.88, ("Block Size: %d" % self.block_length),
weight="heavy",
size=self.text_size)
self.text_sr = figtext(0.60,
0.88, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy",
size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05],
frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(
self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05],
frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(
self.button_right_click)
self.xlim = self.sp_f.get_xlim()
self.manager = get_current_fig_manager()
connect('key_press_event', self.click)
show()
def get_data(self, hfile):
self.text_file_pos.set_text("File Position: %d" %
(hfile.tell() // self.sizeof_data))
try:
f = numpy.fromfile(hfile,
dtype=self.datatype,
count=self.block_length)
except MemoryError:
print("End of File")
else:
self.f = numpy.array(f)
self.time = numpy.array(
[i * (1 / self.sample_rate) for i in range(len(self.f))])
def make_plots(self):
self.sp_f = self.fig.add_subplot(2,
1,
1,
position=[0.075, 0.2, 0.875, 0.6])
self.sp_f.set_title(("Amplitude"),
fontsize=self.title_font_size,
fontweight="bold")
self.sp_f.set_xlabel("Time (s)",
fontsize=self.label_font_size,
fontweight="bold")
self.sp_f.set_ylabel("Amplitude (V)",
fontsize=self.label_font_size,
fontweight="bold")
self.plot_f = list()
maxval = -1e12
minval = 1e12
for hf in self.hfile:
# if specified on the command-line, set file pointer
hf.seek(self.sizeof_data * self.start, 1)
self.get_data(hf)
# Subplot for real and imaginary parts of signal
self.plot_f += plot(self.time, self.f, 'o-')
maxval = max(maxval, self.f.max())
minval = min(minval, self.f.min())
self.sp_f.set_ylim([1.5 * minval, 1.5 * maxval])
self.leg = self.sp_f.legend(self.plot_f, self.legend_text)
draw()
def update_plots(self):
maxval = -1e12
minval = 1e12
for hf, p in zip(self.hfile, self.plot_f):
self.get_data(hf)
p.set_data([self.time, self.f])
maxval = max(maxval, self.f.max())
minval = min(minval, self.f.min())
self.sp_f.set_ylim([1.5 * minval, 1.5 * maxval])
draw()
def click(self, event):
forward_valid_keys = [" ", "down", "right"]
backward_valid_keys = ["up", "left"]
if (find(event.key, forward_valid_keys)):
self.step_forward()
elif (find(event.key, backward_valid_keys)):
self.step_backward()
def button_left_click(self, event):
self.step_backward()
def button_right_click(self, event):
self.step_forward()
def step_forward(self):
self.update_plots()
def step_backward(self):
for hf in self.hfile:
# Step back in file position
if (hf.tell() >= 2 * self.sizeof_data * self.block_length):
hf.seek(-2 * self.sizeof_data * self.block_length, 1)
else:
hf.seek(-hf.tell(), 1)
self.update_plots()
@staticmethod
def setup_options():
description = "Takes a GNU Radio binary file and displays the samples versus time. You can set the block size to specify how many points to read in at a time and the start position in the file. By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples."
parser = ArgumentParser(conflict_handler="resolve",
description=description)
parser.add_argument("-d",
"--data-type",
default="complex64",
choices=("complex64", "float32", "uint32", "int32",
"uint16", "int16", "uint8", "int8"),
help="Specify the data type [default=%(default)r]")
parser.add_argument(
"-B",
"--block",
type=int,
default=1000,
help="Specify the block size [default=%(default)r]")
parser.add_argument(
"-s",
"--start",
type=int,
default=0,
help="Specify where to start in the file [default=%(default)r]")
parser.add_argument(
"-R",
"--sample-rate",
type=float,
default=1.0,
help="Set the sampler rate of the data [default=%(default)r]")
parser.add_argument("files",
metavar="FILE",
nargs='+',
help="Input file with samples")
return parser
class plot_fft_base(object):
def __init__(self, datatype, filename, options):
self.hfile = open(filename, "r")
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 12), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file = figtext(0.10, 0.94, ("File: %s" % filename), weight="heavy", size=self.text_size)
self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size)
self.text_block = figtext(0.35, 0.88, ("Block Size: %d" % self.block_length),
weight="heavy", size=self.text_size)
self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy", size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
self.xlim = self.sp_iq.get_xlim()
self.manager = get_current_fig_manager()
connect('draw_event', self.zoom)
connect('key_press_event', self.click)
show()
def get_data(self):
self.position = self.hfile.tell() / self.sizeof_data
self.text_file_pos.set_text("File Position: %d" % (self.position))
try:
self.iq = numpy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)
except MemoryError:
print("End of File")
else:
self.iq_fft = self.dofft(self.iq)
tstep = 1.0 / self.sample_rate
#self.time = numpy.array([tstep*(self.position + i) for i in range(len(self.iq))])
self.time = numpy.array([tstep*(i) for i in range(len(self.iq))])
self.freq = self.calc_freq(self.time, self.sample_rate)
def dofft(self, iq):
N = len(iq)
iq_fft = numpy.fft.fftshift(fftpack.fft(iq)) # fft and shift axis
iq_fft = 20*numpy.log10(abs((iq_fft+1e-15) / N)) # convert to decibels, adjust power
# adding 1e-15 (-300 dB) to protect against value errors if an item in iq_fft is 0
return iq_fft
def calc_freq(self, time, sample_rate):
N = len(time)
Fs = 1.0 / (max(time) - min(time))
Fn = 0.5 * sample_rate
freq = numpy.array([-Fn + i*Fs for i in range(N)])
return freq
def make_plots(self):
# if specified on the command-line, set file pointer
self.hfile.seek(self.sizeof_data*self.start, 1)
# Subplot for real and imaginary parts of signal
self.sp_iq = self.fig.add_subplot(2,2,1, position=[0.075, 0.2, 0.4, 0.6])
self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold")
self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold")
# Subplot for FFT plot
self.sp_fft = self.fig.add_subplot(2,2,2, position=[0.575, 0.2, 0.4, 0.6])
self.sp_fft.set_title(("FFT"), fontsize=self.title_font_size, fontweight="bold")
self.sp_fft.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
self.sp_fft.set_ylabel("Power Spectrum (dBm)", fontsize=self.label_font_size, fontweight="bold")
self.get_data()
self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals
self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags
self.draw_time() # draw the plot
self.plot_fft = self.sp_fft.plot([], 'bo-') # make plot for FFT
self.draw_fft() # draw the plot
draw()
def draw_time(self):
reals = self.iq.real
imags = self.iq.imag
self.plot_iq[0].set_data([self.time, reals])
self.plot_iq[1].set_data([self.time, imags])
self.sp_iq.set_xlim(self.time.min(), self.time.max())
self.sp_iq.set_ylim([1.5*min([reals.min(), imags.min()]),
1.5*max([reals.max(), imags.max()])])
def draw_fft(self):
self.plot_fft[0].set_data([self.freq, self.iq_fft])
self.sp_fft.set_xlim(self.freq.min(), self.freq.max())
self.sp_fft.set_ylim([self.iq_fft.min()-10, self.iq_fft.max()+10])
def update_plots(self):
self.draw_time()
self.draw_fft()
self.xlim = self.sp_iq.get_xlim()
draw()
def zoom(self, event):
newxlim = numpy.array(self.sp_iq.get_xlim())
curxlim = numpy.array(self.xlim)
if(newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]):
self.xlim = newxlim
#xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0] - self.position))))
#xmax = min(int(ceil(self.sample_rate*(self.xlim[1] - self.position))), len(self.iq))
xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0]))))
xmax = min(int(ceil(self.sample_rate*(self.xlim[1]))), len(self.iq))
iq = self.iq[xmin : xmax]
time = self.time[xmin : xmax]
iq_fft = self.dofft(iq)
freq = self.calc_freq(time, self.sample_rate)
self.plot_fft[0].set_data(freq, iq_fft)
self.sp_fft.axis([freq.min(), freq.max(),
iq_fft.min()-10, iq_fft.max()+10])
draw()
def click(self, event):
forward_valid_keys = [" ", "down", "right"]
backward_valid_keys = ["up", "left"]
if(find(event.key, forward_valid_keys)):
self.step_forward()
elif(find(event.key, backward_valid_keys)):
self.step_backward()
def button_left_click(self, event):
self.step_backward()
def button_right_click(self, event):
self.step_forward()
def step_forward(self):
self.get_data()
self.update_plots()
def step_backward(self):
# Step back in file position
if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ):
self.hfile.seek(-2*self.sizeof_data*self.block_length, 1)
else:
self.hfile.seek(-self.hfile.tell(),1)
self.get_data()
self.update_plots()
@staticmethod
def setup_options():
description = "Takes a GNU Radio complex binary file and displays the I&Q data versus time as well as the frequency domain (FFT) plot. The y-axis values are plotted assuming volts as the amplitude of the I&Q streams and converted into dBm in the frequency domain (the 1/N power adjustment out of the FFT is performed internally). The script plots a certain block of data at a time, specified on the command line as -B or --block. This value defaults to 1000. The start position in the file can be set by specifying -s or --start and defaults to 0 (the start of the file). By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time and frequency axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples."
parser = ArgumentParser(conflict_handler="resolve", description=description)
parser.add_argument("-d", "--data-type", default="complex64",
choices=("complex64", "float32", "uint32", "int32", "uint16",
"int16", "uint8", "int8"),
help="Specify the data type [default=%(default)r]")
parser.add_argument("-B", "--block", type=int, default=1000,
help="Specify the block size [default=%(default)r]")
parser.add_argument("-s", "--start", type=int, default=0,
help="Specify where to start in the file [default=%(default)r]")
parser.add_argument("-R", "--sample-rate", type=float, default=1.0,
help="Set the sampler rate of the data [default=%(default)r]")
parser.add_argument("file", metavar="FILE",
help="Input file with samples")
return parser
class plot_psd_base(object):
def __init__(self, datatype, filename, options):
self.hfile = open(filename, "r")
self.block_length = options.block
self.start = options.start
self.sample_rate = options.sample_rate
self.psdfftsize = options.psd_size
self.specfftsize = options.spec_size
self.dospec = options.enable_spec # if we want to plot the spectrogram
self.datatype = datatype
if self.datatype is None:
self.datatype = datatype_lookup[options.data_type]
self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
self.axis_font_size = 16
self.label_font_size = 18
self.title_font_size = 20
self.text_size = 22
# Setup PLOT
self.fig = figure(1, figsize=(16, 12), facecolor='w')
rcParams['xtick.labelsize'] = self.axis_font_size
rcParams['ytick.labelsize'] = self.axis_font_size
self.text_file = figtext(0.10, 0.95, ("File: %s" % filename),
weight="heavy", size=self.text_size)
self.text_file_pos = figtext(0.10, 0.92, "File Position: ",
weight="heavy", size=self.text_size)
self.text_block = figtext(0.35, 0.92, ("Block Size: %d" % self.block_length),
weight="heavy", size=self.text_size)
self.text_sr = figtext(0.60, 0.915, ("Sample Rate: %.2f" % self.sample_rate),
weight="heavy", size=self.text_size)
self.make_plots()
self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
self.button_left = Button(self.button_left_axes, "<")
self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
self.button_right = Button(self.button_right_axes, ">")
self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
self.xlim = numpy.array(self.sp_iq.get_xlim())
self.manager = get_current_fig_manager()
connect('draw_event', self.zoom)
connect('key_press_event', self.click)
show()
def get_data(self):
self.position = self.hfile.tell() / self.sizeof_data
self.text_file_pos.set_text("File Position: %d" % self.position)
try:
self.iq = numpy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)
except MemoryError:
print("End of File")
return False
else:
# retesting length here as newer version of numpy does not throw a MemoryError, just
# returns a zero-length array
if(len(self.iq) > 0):
tstep = 1.0 / self.sample_rate
#self.time = numpy.array([tstep*(self.position + i) for i in range(len(self.iq))])
self.time = numpy.array([tstep*(i) for i in range(len(self.iq))])
self.iq_psd, self.freq = self.dopsd(self.iq)
return True
else:
print("End of File")
return False
def dopsd(self, iq):
''' Need to do this here and plot later so we can do the fftshift '''
overlap = self.psdfftsize / 4
winfunc = numpy.blackman
psd,freq = mlab.psd(iq, self.psdfftsize, self.sample_rate,
window = lambda d: d*winfunc(self.psdfftsize),
noverlap = overlap)
psd = 10.0*numpy.log10(abs(psd))
return (psd, freq)
def make_plots(self):
# if specified on the command-line, set file pointer
self.hfile.seek(self.sizeof_data*self.start, 1)
iqdims = [[0.075, 0.2, 0.4, 0.6], [0.075, 0.55, 0.4, 0.3]]
psddims = [[0.575, 0.2, 0.4, 0.6], [0.575, 0.55, 0.4, 0.3]]
specdims = [0.2, 0.125, 0.6, 0.3]
# Subplot for real and imaginary parts of signal
self.sp_iq = self.fig.add_subplot(2,2,1, position=iqdims[self.dospec])
self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold")
self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold")
# Subplot for PSD plot
self.sp_psd = self.fig.add_subplot(2,2,2, position=psddims[self.dospec])
self.sp_psd.set_title(("PSD"), fontsize=self.title_font_size, fontweight="bold")
self.sp_psd.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
self.sp_psd.set_ylabel("Power Spectrum (dBm)", fontsize=self.label_font_size, fontweight="bold")
r = self.get_data()
self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals
self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags
self.draw_time(self.time, self.iq) # draw the plot
self.plot_psd = self.sp_psd.plot([], 'b') # make plot for PSD
self.draw_psd(self.freq, self.iq_psd) # draw the plot
if self.dospec:
# Subplot for spectrogram plot
self.sp_spec = self.fig.add_subplot(2,2,3, position=specdims)
self.sp_spec.set_title(("Spectrogram"), fontsize=self.title_font_size, fontweight="bold")
self.sp_spec.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
self.sp_spec.set_ylabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
self.draw_spec(self.time, self.iq)
draw()
def draw_time(self, t, iq):
reals = iq.real
imags = iq.imag
self.plot_iq[0].set_data([t, reals])
self.plot_iq[1].set_data([t, imags])
self.sp_iq.set_xlim(t.min(), t.max())
self.sp_iq.set_ylim([1.5*min([reals.min(), imags.min()]),
1.5*max([reals.max(), imags.max()])])
def draw_psd(self, f, p):
self.plot_psd[0].set_data([f, p])
self.sp_psd.set_ylim([p.min()-10, p.max()+10])
self.sp_psd.set_xlim([f.min(), f.max()])
def draw_spec(self, t, s):
overlap = self.specfftsize / 4
winfunc = numpy.blackman
self.sp_spec.clear()
self.sp_spec.specgram(s, self.specfftsize, self.sample_rate,
window = lambda d: d*winfunc(self.specfftsize),
noverlap = overlap, xextent=[t.min(), t.max()])
def update_plots(self):
self.draw_time(self.time, self.iq)
self.draw_psd(self.freq, self.iq_psd)
if self.dospec:
self.draw_spec(self.time, self.iq)
self.xlim = numpy.array(self.sp_iq.get_xlim()) # so zoom doesn't get called
draw()
def zoom(self, event):
newxlim = numpy.array(self.sp_iq.get_xlim())
curxlim = numpy.array(self.xlim)
if(newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]):
#xmin = max(0, int(ceil(self.sample_rate*(newxlim[0] - self.position))))
#xmax = min(int(ceil(self.sample_rate*(newxlim[1] - self.position))), len(self.iq))
xmin = max(0, int(ceil(self.sample_rate*(newxlim[0]))))
xmax = min(int(ceil(self.sample_rate*(newxlim[1]))), len(self.iq))
iq = numpy.array(self.iq[xmin : xmax])
time = numpy.array(self.time[xmin : xmax])
iq_psd, freq = self.dopsd(iq)
self.draw_psd(freq, iq_psd)
self.xlim = numpy.array(self.sp_iq.get_xlim())
draw()
def click(self, event):
forward_valid_keys = [" ", "down", "right"]
backward_valid_keys = ["up", "left"]
if(find(event.key, forward_valid_keys)):
self.step_forward()
elif(find(event.key, backward_valid_keys)):
self.step_backward()
def button_left_click(self, event):
self.step_backward()
def button_right_click(self, event):
self.step_forward()
def step_forward(self):
r = self.get_data()
if(r):
self.update_plots()
def step_backward(self):
# Step back in file position
if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ):
self.hfile.seek(-2*self.sizeof_data*self.block_length, 1)
else:
self.hfile.seek(-self.hfile.tell(),1)
r = self.get_data()
if(r):
self.update_plots()
@staticmethod
def setup_options():
description = "Takes a GNU Radio binary file (with specified data type using --data-type) and displays the I&Q data versus time as well as the power spectral density (PSD) plot. The y-axis values are plotted assuming volts as the amplitude of the I&Q streams and converted into dBm in the frequency domain (the 1/N power adjustment out of the FFT is performed internally). The script plots a certain block of data at a time, specified on the command line as -B or --block. The start position in the file can be set by specifying -s or --start and defaults to 0 (the start of the file). By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time and frequency axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples. Finally, the size of the FFT to use for the PSD and spectrogram plots can be set independently with --psd-size and --spec-size, respectively. The spectrogram plot does not display by default and is turned on with -S or --enable-spec."
parser = ArgumentParser(conflict_handler="resolve", description=description)
parser.add_argument("-d", "--data-type", default="complex64",
choices=("complex64", "float32", "int32", "uint32", "int16",
"uint16", "int8", "uint8" ),
help="Specify the data type [default=%(default)r]")
parser.add_argument("-B", "--block", type=int, default=8192,
help="Specify the block size [default=%(default)r]")
parser.add_argument("-s", "--start", type=int, default=0,
help="Specify where to start in the file [default=%(default)r]")
parser.add_argument("-R", "--sample-rate", type=eng_float, default=1.0,
help="Set the sampler rate of the data [default=%(default)r]")
parser.add_argument("--psd-size", type=int, default=1024,
help="Set the size of the PSD FFT [default=%(default)r]")
parser.add_argument("--spec-size", type=int, default=256,
help="Set the size of the spectrogram FFT [default=%(default)r]")
parser.add_argument("-S", "--enable-spec", action="store_true",
help="Turn on plotting the spectrogram [default=%(default)r]")
parser.add_argument("file", metavar="FILE",
help="Input file with samples")
return parser
