def setUp(self):
self.n_ports = 2
self.wg = WG
wg= self.wg
self.X = wg.random(n_ports =2, name = 'X')
self.Y = wg.random(n_ports =2, name = 'Y')
self.If = wg.random(n_ports=1, name='If')
self.Ir = wg.random(n_ports=1, name='Ir')
self.gamma_f = wg.random(n_ports =1, name='gamma_f')
self.gamma_r = wg.random(n_ports =1, name='gamma_r')
actuals = [
wg.thru(),
rf.two_port_reflect(wg.load(-.98-.1j),wg.load(-.98-.1j)),
rf.two_port_reflect(wg.load(.99+0.05j),wg.load(.99+0.05j)),
wg.line(100,'um'),
wg.line(200,'um'),
wg.line(900,'um'),
]
self.actuals=actuals
measured = [self.measure(k) for k in actuals]
self.cal = NISTMultilineTRL(
measured = measured,
isolation = measured[1],
Grefls = [-1, 1],
l = [0, 100e-6, 200e-6, 900e-6],
er_est = 1,
switch_terms = (self.gamma_f, self.gamma_r),
gamma_root_choice = 'real'
)
def setUp(self):
self.n_ports = 2
self.wg = WG
wg = self.wg
#Port 0: VNA port 0
#Port 1: DUT port 0
#Port 2: DUT port 1
#Port 3: VNA port 1
self.Z = wg.random(n_ports = 4, name = 'Z')
o = wg.open(nports=1, name='open')
s = wg.short(nports=1, name='short')
m = wg.match(nports=1, name='load')
om = rf.two_port_reflect(o, m)
mo = rf.two_port_reflect(m, o)
oo = rf.two_port_reflect(o, o)
ss = rf.two_port_reflect(s, s)
thru = wg.thru(name='thru')
ideals = [
thru,
om,
mo,
oo,
ss
]
measured = [self.measure(k) for k in ideals]
self.cal = rf.SixteenTerm(
measured = measured,
ideals = ideals,
)
def setUp(self):
self.wg = WG
wg = self.wg
self.X = wg.random(n_ports =2, name = 'X')
self.Y = wg.random(n_ports =2, name='Y')
#thru
self.T = wg.thru()
self.T_m = self.embed(self.T)
#line
self.L = wg.line(80,'deg')
self.L_approx = self.wg.line(90,'deg')
self.L_m = self.embed(self.L)
# reflect
self.r = [ wg.delay_load(p,k,'deg') \
for k in [-10,10,88,92] \
for p in [-.9,-1]]
self.R = [rf.two_port_reflect(k,k) for k in self.r]
short= wg.short()
open = wg.open()
self.r_estimate = [short, short,short, short, open ,open, open ,open]
self.R_m = [self.embed(k) for k in self.R]
def setUp(self):
self.n_ports = 2
self.wg = WG
wg= self.wg
self.X = wg.random(n_ports =2, name = 'X')
self.Y = wg.random(n_ports =2, name='Y')
self.If = wg.random(n_ports=1, name='If')
self.Ir = wg.random(n_ports=1, name='Ir')
self.gamma_f = wg.random(n_ports =1, name='gamma_f')
self.gamma_r = wg.random(n_ports =1, name='gamma_r')
# make error networks have s21,s12 >> s11,s22 so that TRL
# can guess at line length
self.X.s[:,0,0] *=1e-1
self.Y.s[:,0,0] *=1e-1
self.X.s[:,1,1] *=1e-1
self.Y.s[:,1,1] *=1e-1
ideals = None
r = wg.delay_short(20,'deg')
self.actuals=[wg.thru( name='thru'),
rf.two_port_reflect(r,r),\
wg.attenuator(-3,True, 45,'deg')]
measured = [self.measure(k) for k in self.actuals]
self.cal = rf.TRL(
ideals = None,
measured = measured,
isolation = measured[1],
switch_terms = (self.gamma_f, self.gamma_r)
)
def setUp(self):
self.n_ports = 2
self.wg = WG
wg = self.wg
#Port 0: VNA port 0
#Port 1: DUT port 0
#Port 2: DUT port 1
#Port 3: VNA port 1
self.Z = wg.random(n_ports = 4, name = 'Z')
self.gamma_f = wg.random(n_ports =1, name='gamma_f')
self.gamma_r = wg.random(n_ports =1, name='gamma_r')
r = wg.short(nports=1, name='short')
m = wg.match(nports=1, name='load')
mm = rf.two_port_reflect(m, m)
rm = rf.two_port_reflect(r, m)
mr = rf.two_port_reflect(m, r)
rr = rf.two_port_reflect(r, r)
thru_length = uniform(0,10)
thru = wg.line(thru_length,'deg',name='line')
self.thru = thru
ideals = [
thru,
mm,
rr,
rm,
mr
]
measured = [self.measure(k) for k in ideals]
self.cal = rf.LMR16(
measured = measured,
ideals = [r],
ideal_is_reflect = True,
#Automatic sign detection doesn't work if the
#error terms aren't symmetric enough
sign = -1,
switch_terms=(self.gamma_f, self.gamma_r)
)
def trlCalibrate(name):
measured = [measuredFiles['thru'],
skrf.two_port_reflect(measuredFiles['short'],measuredFiles['short']),
measuredFiles[name] ]
ideals = [ makeStandard('thruIdeal',numpy.array([[0,1],[1,0]])),
makeStandard('shortIdeal',numpy.array([[-1.]]),mirror=True),
standardFiles[name] ]
trlCalibration = skrf.Calibration(measured,ideals)
trlCalibration.run()
return trlCalibration
def makeStandard(standardName,coefficient,mirror=False):
assert coefficient.ndim == 2
standard = skrf.Network()
standard.f = frequencyList
repeatableCoefficient = numpy.array([coefficient])
standard.s = repeatableCoefficient.repeat(len(standard.f),0)
if mirror:
return skrf.two_port_reflect(standard,standard)
else:
return standard
def setUp(self):
self.wg = WG
wg = self.wg
self.X = wg.random(n_ports =2, name = 'X')
self.Y = wg.random(n_ports =2, name='Y')
#thru
self.T = wg.thru()
self.T_m = self.embed(self.T)
#line
self.L = wg.line(80,'deg')
self.L_approx = self.wg.line(90,'deg')
self.L_m = self.embed(self.L)
# reflect
r = wg.load(-.8-.1j)
self.R = two_port_reflect(r,r)
self.R_approx = wg.short()
self.R_m = self.embed(self.R)
def setUp(self):
self.n_ports = 2
self.wg = WG
wg= self.wg
self.X = wg.random(n_ports =2, name = 'X')
self.Y = wg.random(n_ports =2, name='Y')
self.If = wg.random(n_ports=1, name='If')
self.Ir = wg.random(n_ports=1, name='Ir')
self.gamma_f = wg.random(n_ports =1, name='gamma_f')
self.gamma_r = wg.random(n_ports =1, name='gamma_r')
# make error networks have s21,s12 >> s11,s22 so that TRL
# can guess at line length
self.X.s[:,0,0] *=1e-1
self.Y.s[:,0,0] *=1e-1
self.X.s[:,1,1] *=1e-1
self.Y.s[:,1,1] *=1e-1
actuals = [
wg.thru( name='thru'),
rf.two_port_reflect(wg.load(-.9-.1j),wg.load(-.9-.1j)),
wg.attenuator(-3,True, 45,'deg')
#wg.line(45,'deg',name='line'),
]
self.actuals=actuals
ideals = [
wg.thru( name='thru'),
wg.short(nports=2, name='short'),
wg.line(90,'deg',name='line'),
]
measured = [self.measure(k) for k in actuals]
self.cal = rf.TRL(
ideals = ideals,
measured = measured,
isolation = measured[1],
switch_terms = (self.gamma_f, self.gamma_r)
)
def evaluate(self):
if type(self.reflect_2port) is skrf.Network:
self.ready = True
self.label_port1.setText("port1 - measured")
self.label_port2.setText("port2 - measured")
else:
if type(self.s11) is skrf.Network and type(self.s22) is skrf.Network:
self.reflect_2port = skrf.two_port_reflect(self.s11, self.s22)
# self.reflect_2port = skrf.four_oneports_2_twoport(self.s11, self.s11, self.s22, self.s22)
# self.reflect_2port.s[:, 0, 1] = 0
# self.reflect_2port.s[:, 1, 0] = 0
self.ready = True
self.label_port1.setText("port1 - measured")
self.label_port2.setText("port2 - measured")
else:
self.ready = False
if type(self.s11) is skrf.Network:
self.label_port1.setText("port1 - measured")
else:
self.label_port1.setText("port1 - not measured")
if type(self.s22) is skrf.Network:
self.label_port2.setText("port2 - measured")
else:
self.label_port2.setText("port2 - not measured")
THRU_S21 = np.load(meas_folder / 'THRU_S21.ntwk', allow_pickle=True) THRU_S12 = np.load(meas_folder / 'THRU_S12.ntwk', allow_pickle=True) REFLECT_S11 = np.load(meas_folder / 'REFLECT_S11.ntwk', allow_pickle=True) REFLECT_S22 = np.load(meas_folder / 'REFLECT_S22.ntwk', allow_pickle=True) REFLECT_S21 = np.load(meas_folder / 'REFLECT_S21.ntwk', allow_pickle=True) REFLECT_S12 = np.load(meas_folder / 'REFLECT_S12.ntwk', allow_pickle=True) LINE_S11 = np.load(meas_folder / 'LINE_S11.ntwk', allow_pickle=True) LINE_S22 = np.load(meas_folder / 'LINE_S22.ntwk', allow_pickle=True) LINE_S21 = np.load(meas_folder / 'LINE_S21.ntwk', allow_pickle=True) LINE_S12 = np.load(meas_folder / 'LINE_S12.ntwk', allow_pickle=True) SWITCH_TERMS = np.load(meas_folder / 'SWITCH_TERMS.ntwk', allow_pickle=True) THRU = rf.two_port_reflect(THRU_S11, THRU_S22) n_freq = len(THRU.f) pad_zeros = np.zeros((n_freq, 2, 2)) THRU.s[:, 0, 1] = THRU_S12.s[:, 0, 0] THRU.s[:, 1, 0] = THRU_S21.s[:, 0, 0] THRU.z0 = (50 + 0j) * np.ones((n_freq, 4)) REFLECT = rf.two_port_reflect(REFLECT_S11, REFLECT_S22) REFLECT.s[:, 0, 1] = REFLECT_S12.s[:, 0, 0] REFLECT.s[:, 1, 0] = REFLECT_S21.s[:, 0, 0] REFLECT.z0 = (50 + 0j) * np.ones((n_freq, 4)) LINE = rf.two_port_reflect(LINE_S11, LINE_S22) LINE.s[:, 0, 1] = LINE_S12.s[:, 0, 0] LINE.s[:, 1, 0] = LINE_S21.s[:, 0, 0]
ss = skrf.Network('short_short.s2p')
through = skrf.Network('through.s2p')
freqs = through.f
frequency = through.frequency
o_i = skrf.Network('../cal_kit/open.s1p')
s_i = skrf.Network('../cal_kit/short.s1p')
l_i = skrf.Network('../cal_kit/load.s1p')
o_i = o_i.interpolate(frequency)
s_i = s_i.interpolate(frequency)
l_i = l_i.interpolate(frequency)
ll_i = skrf.two_port_reflect(l_i, l_i)
ss_i = skrf.two_port_reflect(s_i, s_i)
oo_i = skrf.two_port_reflect(o_i, o_i)
through_delay = 51.1e-12
d = 2 * np.pi * through_delay
through_s = [[[0, np.exp(-1j * d * f)], [np.exp(-1j * d * f), 0]]
for f in freqs]
through_i = skrf.Network(s=through_s, f=freqs, f_unit='Hz')
cal = skrf.TwelveTerm(\
measured = [oo, ss, ll, through],
ideals =[oo_i, ss_i, ll_i, through_i],
n_thrus = 1,
isolation=ll
)
def setUp(self):
self.n_ports = 2
self.wg = WG
wg = self.wg
#Port 0: VNA port 0
#Port 1: DUT port 0
#Port 2: DUT port 1
#Port 3: VNA port 1
self.Z = wg.random(n_ports=4, name='Z')
self.gamma_f = wg.random(n_ports=1, name='gamma_f')
self.gamma_r = wg.random(n_ports=1, name='gamma_r')
o = wg.open(nports=1, name='open')
s = wg.short(nports=1, name='short')
m = wg.match(nports=1, name='load')
om = rf.two_port_reflect(o, m)
mo = rf.two_port_reflect(m, o)
oo = rf.two_port_reflect(o, o)
ss = rf.two_port_reflect(s, s)
thru = wg.thru(name='thru')
ideals = [thru, om, mo, oo, ss]
measured = [self.measure(k) for k in ideals]
self.cal16 = rf.SixteenTerm(measured=measured,
ideals=ideals,
switch_terms=(self.gamma_f, self.gamma_r))
r = wg.load(.95 + .1j, nports=1)
m = wg.match(nports=1)
mm = rf.two_port_reflect(m, m)
rm = rf.two_port_reflect(r, m)
mr = rf.two_port_reflect(m, r)
rr = rf.two_port_reflect(r, r)
ideals = [thru, mm, rr, rm, mr]
measured = [self.measure(k) for k in ideals]
self.cal_lmr16 = rf.LMR16(
measured=measured,
ideals=[thru],
ideal_is_reflect=False,
#Automatic sign detection doesn't work if the
#error terms aren't symmetric enough
sign=1,
switch_terms=(self.gamma_f, self.gamma_r))
#Same error network, but without leakage terms
#Primary leakage
self.Z.s[:, 3, 0] = 0 # forward isolation
self.Z.s[:, 0, 3] = 0 # reverse isolation
self.Z.s[:, 2, 1] = 0 # forward port isolation
self.Z.s[:, 1, 2] = 0 # reverse port isolation
#Cross leakage
self.Z.s[:, 3, 1] = 0 # forward port 2 isolation
self.Z.s[:, 1, 3] = 0 # reverse port 2 isolation
self.Z.s[:, 2, 0] = 0 # forward port 1 isolation
self.Z.s[:, 0, 2] = 0 # reverse port 1 isolation
measured = [self.measure(k) for k in ideals]
self.cal8 = rf.EightTerm(
measured=measured,
ideals=ideals,
switch_terms=(self.gamma_f, self.gamma_r),
)
def delay_shorts(d1, d2):
ds1 = wg.delay_short(d1, 'deg')
ds2 = wg.delay_short(d2, 'deg')
return rf.two_port_reflect(ds1, ds2)
thru_ideal
#rf.two_port_reflect(thru_ideal, thru_ideal),
#rf.two_port_reflect(load_ideal, load_ideal),
#rf.two_port_reflect(reflect_ideal, reflect_ideal),
#rf.two_port_reflect(reflect_ideal, load_ideal),
#rf.two_port_reflect(load_ideal, reflect_ideal),
]
# a list of Network types, holding 'measured' responses
reflect_measure = rf.Network(D_reflect_m)
load_measure = rf.Network(D_load_m)
thru_measure = rf.Network(D_thru_m)
my_measured = [
thru_measure,
rf.two_port_reflect(load_measure, load_measure),
rf.two_port_reflect(reflect_measure, reflect_measure),
rf.two_port_reflect(reflect_measure, load_measure),
rf.two_port_reflect(load_measure, reflect_measure),
]
## create a SOLT instance
cal = LMR16(
ideals=my_ideals,
measured=my_measured,
ideal_is_reflect=False,
)
# run calibration algorithm
cal.run()
for measurementName in ['open','load','short']:
measured.append(measuredFiles[measurementName])
ideals = [makeStandard('openIdeal',numpy.array([[+1.]])),
makeStandard('loadIdeal',numpy.array([[0.]])),
makeStandard('shortIdeal',numpy.array([[-1.]]))]
solCalibration = skrf.Calibration(measured,ideals)
solCalibration.run()
## SOLT calibration
twoPortMeasurements = []
for measurementName in ['open','load','short','thru']:
measurement = measuredFiles[measurementName]
if measurement.number_of_ports == 1:
twoPortMeasurements.append(skrf.two_port_reflect(measurement,measurement))
elif measurement.number_of_ports == 2:
twoPortMeasurements.append(measurement)
else:
print 'Error'
ideals = [makeStandard('openIdeal',numpy.array([[+1.]]),mirror=True),
makeStandard('loadIdeal',numpy.array([[0.]]),mirror=True),
makeStandard('shortIdeal',numpy.array([[-1.]]),mirror=True),
makeStandard('thruIdeal',numpy.array([[0,1],[1,0]]))]
soltCalibration = skrf.Calibration(twoPortMeasurements,ideals)
soltCalibration.run()
## TRL calibrations
def trlCalibrate(name):
def setUp(self):
self.n_ports = 2
self.wg = WG
wg = self.wg
#Port 0: VNA port 0
#Port 1: DUT port 0
#Port 2: DUT port 1
#Port 3: VNA port 1
self.Z = wg.random(n_ports = 4, name = 'Z')
self.gamma_f = wg.random(n_ports =1, name='gamma_f')
self.gamma_r = wg.random(n_ports =1, name='gamma_r')
o = wg.open(nports=1, name='open')
s = wg.short(nports=1, name='short')
m = wg.match(nports=1, name='load')
om = rf.two_port_reflect(o, m)
mo = rf.two_port_reflect(m, o)
oo = rf.two_port_reflect(o, o)
ss = rf.two_port_reflect(s, s)
thru = wg.thru(name='thru')
ideals = [
thru,
om,
mo,
oo,
ss
]
measured = [self.measure(k) for k in ideals]
self.cal16 = rf.SixteenTerm(
measured = measured,
ideals = ideals,
switch_terms=(self.gamma_f, self.gamma_r)
)
r = wg.load(.95+.1j,nports=1)
m = wg.match(nports=1)
mm = rf.two_port_reflect(m, m)
rm = rf.two_port_reflect(r, m)
mr = rf.two_port_reflect(m, r)
rr = rf.two_port_reflect(r, r)
ideals = [
thru,
mm,
rr,
rm,
mr
]
measured = [self.measure(k) for k in ideals]
self.cal_lmr16 = rf.LMR16(
measured = measured,
ideals = [thru],
ideal_is_reflect = False,
#Automatic sign detection doesn't work if the
#error terms aren't symmetric enough
sign = 1,
switch_terms=(self.gamma_f, self.gamma_r)
)
#Same error network, but without leakage terms
#Primary leakage
self.Z.s[:,3,0] = 0 # forward isolation
self.Z.s[:,0,3] = 0 # reverse isolation
self.Z.s[:,2,1] = 0 # forward port isolation
self.Z.s[:,1,2] = 0 # reverse port isolation
#Cross leakage
self.Z.s[:,3,1] = 0 # forward port 2 isolation
self.Z.s[:,1,3] = 0 # reverse port 2 isolation
self.Z.s[:,2,0] = 0 # forward port 1 isolation
self.Z.s[:,0,2] = 0 # reverse port 1 isolation
measured = [self.measure(k) for k in ideals]
self.cal8 = rf.EightTerm(
measured = measured,
ideals = ideals,
switch_terms=(self.gamma_f, self.gamma_r),
)
def delay_shorts(d1,d2):
ds1 = wg.delay_short(d1,'deg')
ds2 = wg.delay_short(d2,'deg')
return rf.two_port_reflect(ds1,ds2)
#import 2 port data
DUT_Agilent_corrected =rf.Network('C:\\Users\\Zaber\\Documents\\data\\scikit_measurements\\Agilent Cal\\Calibrated_DUT.s2p')
#%%
vna.sweep
measurement_S11 = vna.get_measurement(mname = meas_S11)
measurement_S22 = vna.get_measurement(mname = meas_S22)
measurement_S21 = vna.get_measurement(mname = meas_S21)
measurement_S12 = vna.get_measurement(mname = meas_S12)
measurement = rf.two_port_reflect(measurement_S11, measurement_S22)
measurement.s[:,0,1] = measurement_S12.s[:,0,0]
measurement.s[:,1,0] = measurement_S21.s[:,0,0]
measurement_corrected = cal.apply_cal(measurement)
#%%
%matplotlib inline
fig, (ax1, ax2) =plt.subplots(2,1)
ax1.set_title('VNA versus Offline Calibration')
measurement_corrected.plot_s_re(ax = ax1, linestyle = '--')
measurement_corrected.plot_s_im(ax = ax2, linestyle = '--')
DUT_Agilent_corrected.plot_s_re(ax = ax1)