def __init__(self, constellation, differential, rotation):
if constellation.arity() > 256:
# If this becomes limiting some of the blocks should be generalised so
# that they can work with shorts and ints as well as chars.
raise ValueError("Constellation cannot contain more than 256 points.")
gr.hier_block2.__init__(self, "mod_demod",
gr.io_signature(1, 1, gr.sizeof_char), # Input signature
gr.io_signature(1, 1, gr.sizeof_char)) # Output signature
arity = constellation.arity()
# TX
self.constellation = constellation
self.differential = differential
self.blocks = [self]
# We expect a stream of unpacked bits.
# First step is to pack them.
self.blocks.append(gr.unpacked_to_packed_bb(1, gr.GR_MSB_FIRST))
# Second step we unpack them such that we have k bits in each byte where
# each constellation symbol hold k bits.
self.blocks.append(
gr.packed_to_unpacked_bb(self.constellation.bits_per_symbol(),
gr.GR_MSB_FIRST))
# Apply any pre-differential coding
# Gray-coding is done here if we're also using differential coding.
if self.constellation.apply_pre_diff_code():
self.blocks.append(digital.map_bb(self.constellation.pre_diff_code()))
# Differential encoding.
if self.differential:
self.blocks.append(digital.diff_encoder_bb(arity))
# Convert to constellation symbols.
self.blocks.append(digital.chunks_to_symbols_bc(self.constellation.points(),
self.constellation.dimensionality()))
# CHANNEL
# Channel just consists of a rotation to check differential coding.
if rotation is not None:
self.blocks.append(gr.multiply_const_cc(rotation))
# RX
# Convert the constellation symbols back to binary values.
self.blocks.append(digital.constellation_decoder_cb(self.constellation.base()))
# Differential decoding.
if self.differential:
self.blocks.append(digital.diff_decoder_bb(arity))
# Decode any pre-differential coding.
if self.constellation.apply_pre_diff_code():
self.blocks.append(digital.map_bb(
mod_codes.invert_code(self.constellation.pre_diff_code())))
# unpack the k bit vector into a stream of bits
self.blocks.append(gr.unpack_k_bits_bb(
self.constellation.bits_per_symbol()))
# connect to block output
check_index = len(self.blocks)
self.blocks = self.blocks[:check_index]
self.blocks.append(self)
self.connect(*self.blocks)
def test_diff_encdec_002(self):
random.seed(0)
modulus = 8
src_data = make_random_int_tuple(40000, 0, modulus-1)
expected_result = src_data
src = blocks.vector_source_b(src_data)
enc = digital.diff_encoder_bb(modulus)
dec = digital.diff_decoder_bb(modulus)
dst = blocks.vector_sink_b()
self.tb.connect(src, enc, dec, dst)
self.tb.run() # run the graph and wait for it to finish
actual_result = dst.data() # fetch the contents of the sink
self.assertEqual(expected_result, actual_result)
def test_diff_encdec_002(self):
random.seed(0)
modulus = 8
src_data = make_random_int_tuple(40000, 0, modulus - 1)
expected_result = src_data
src = blocks.vector_source_b(src_data)
enc = digital.diff_encoder_bb(modulus)
dec = digital.diff_decoder_bb(modulus)
dst = blocks.vector_sink_b()
self.tb.connect(src, enc, dec, dst)
self.tb.run() # run the graph and wait for it to finish
actual_result = dst.data() # fetch the contents of the sink
self.assertEqual(expected_result, actual_result)
def __init__(self,
constellation,
differential=_def_differential,
samples_per_symbol=_def_samples_per_symbol,
pre_diff_code=True,
excess_bw=_def_excess_bw,
verbose=_def_verbose,
log=_def_log):
gr.hier_block2.__init__(
self,
"generic_mod",
gr.io_signature(1, 1, gr.sizeof_char), # Input signature
gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature
self._constellation = constellation
self._samples_per_symbol = samples_per_symbol
self._excess_bw = excess_bw
self._differential = differential
# Only apply a predifferential coding if the constellation also supports it.
self.pre_diff_code = pre_diff_code and self._constellation.apply_pre_diff_code(
)
if self._samples_per_symbol < 2:
raise TypeError, ("sbp must be >= 2, is %f" %
self._samples_per_symbol)
arity = pow(2, self.bits_per_symbol())
# turn bytes into k-bit vectors
self.bytes2chunks = \
blocks.packed_to_unpacked_bb(self.bits_per_symbol(), gr.GR_MSB_FIRST)
if self.pre_diff_code:
self.symbol_mapper = digital.map_bb(
self._constellation.pre_diff_code())
if differential:
self.diffenc = digital.diff_encoder_bb(arity)
self.chunks2symbols = digital.chunks_to_symbols_bc(
self._constellation.points())
# pulse shaping filter
nfilts = 32
ntaps = nfilts * 11 * int(
self._samples_per_symbol) # make nfilts filters of ntaps each
self.rrc_taps = filter.firdes.root_raised_cosine(
nfilts, # gain
nfilts, # sampling rate based on 32 filters in resampler
1.0, # symbol rate
self._excess_bw, # excess bandwidth (roll-off factor)
ntaps)
self.rrc_filter = filter.pfb_arb_resampler_ccf(
self._samples_per_symbol, self.rrc_taps)
# Connect
self._blocks = [self, self.bytes2chunks]
if self.pre_diff_code:
self._blocks.append(self.symbol_mapper)
if differential:
self._blocks.append(self.diffenc)
self._blocks += [self.chunks2symbols, self.rrc_filter, self]
self.connect(*self._blocks)
if verbose:
self._print_verbage()
if log:
self._setup_logging()
def __init__(self, constellation,
differential=_def_differential,
samples_per_symbol=_def_samples_per_symbol,
pre_diff_code=True,
excess_bw=_def_excess_bw,
verbose=_def_verbose,
log=_def_log):
gr.hier_block2.__init__(self, "generic_mod",
gr.io_signature(1, 1, gr.sizeof_char), # Input signature
gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature
self._constellation = constellation
self._samples_per_symbol = samples_per_symbol
self._excess_bw = excess_bw
self._differential = differential
# Only apply a predifferential coding if the constellation also supports it.
self.pre_diff_code = pre_diff_code and self._constellation.apply_pre_diff_code()
if self._samples_per_symbol < 2:
raise TypeError, ("sbp must be >= 2, is %f" % self._samples_per_symbol)
arity = pow(2,self.bits_per_symbol())
# turn bytes into k-bit vectors
self.bytes2chunks = \
blocks.packed_to_unpacked_bb(self.bits_per_symbol(), gr.GR_MSB_FIRST)
if self.pre_diff_code:
self.symbol_mapper = digital.map_bb(self._constellation.pre_diff_code())
if differential:
self.diffenc = digital.diff_encoder_bb(arity)
self.chunks2symbols = digital.chunks_to_symbols_bc(self._constellation.points())
# pulse shaping filter
nfilts = 32
ntaps = nfilts * 11 * int(self._samples_per_symbol) # make nfilts filters of ntaps each
self.rrc_taps = filter.firdes.root_raised_cosine(
nfilts, # gain
nfilts, # sampling rate based on 32 filters in resampler
1.0, # symbol rate
self._excess_bw, # excess bandwidth (roll-off factor)
ntaps)
self.rrc_filter = filter.pfb_arb_resampler_ccf(self._samples_per_symbol,
self.rrc_taps)
# Connect
self._blocks = [self, self.bytes2chunks]
if self.pre_diff_code:
self._blocks.append(self.symbol_mapper)
if differential:
self._blocks.append(self.diffenc)
self._blocks += [self.chunks2symbols, self.rrc_filter, self]
self.connect(*self._blocks)
if verbose:
self._print_verbage()
if log:
self._setup_logging()
def __init__(self, constellation, differential, rotation):
if constellation.arity() > 256:
# If this becomes limiting some of the blocks should be generalised so
# that they can work with shorts and ints as well as chars.
raise ValueError(
"Constellation cannot contain more than 256 points.")
gr.hier_block2.__init__(
self,
"mod_demod",
gr.io_signature(1, 1, gr.sizeof_char), # Input signature
gr.io_signature(1, 1, gr.sizeof_char)) # Output signature
arity = constellation.arity()
# TX
self.constellation = constellation
self.differential = differential
self.blocks = [self]
# We expect a stream of unpacked bits.
# First step is to pack them.
self.blocks.append(blocks.unpacked_to_packed_bb(1, gr.GR_MSB_FIRST))
# Second step we unpack them such that we have k bits in each byte where
# each constellation symbol hold k bits.
self.blocks.append(
blocks.packed_to_unpacked_bb(self.constellation.bits_per_symbol(),
gr.GR_MSB_FIRST))
# Apply any pre-differential coding
# Gray-coding is done here if we're also using differential coding.
if self.constellation.apply_pre_diff_code():
self.blocks.append(
digital.map_bb(self.constellation.pre_diff_code()))
# Differential encoding.
if self.differential:
self.blocks.append(digital.diff_encoder_bb(arity))
# Convert to constellation symbols.
self.blocks.append(
digital.chunks_to_symbols_bc(self.constellation.points(),
self.constellation.dimensionality()))
# CHANNEL
# Channel just consists of a rotation to check differential coding.
if rotation is not None:
self.blocks.append(blocks.multiply_const_cc(rotation))
# RX
# Convert the constellation symbols back to binary values.
self.blocks.append(
digital.constellation_decoder_cb(self.constellation.base()))
# Differential decoding.
if self.differential:
self.blocks.append(digital.diff_decoder_bb(arity))
# Decode any pre-differential coding.
if self.constellation.apply_pre_diff_code():
self.blocks.append(
digital.map_bb(
mod_codes.invert_code(self.constellation.pre_diff_code())))
# unpack the k bit vector into a stream of bits
self.blocks.append(
blocks.unpack_k_bits_bb(self.constellation.bits_per_symbol()))
# connect to block output
check_index = len(self.blocks)
self.blocks = self.blocks[:check_index]
self.blocks.append(self)
self.connect(*self.blocks)
def __init__(self, constellation,
samples_per_symbol=_def_samples_per_symbol,
differential=_def_differential,
excess_bw=_def_excess_bw,
gray_coded=True,
verbose=_def_verbose,
log=_def_log):
"""
Hierarchical block for RRC-filtered differential generic modulation.
The input is a byte stream (unsigned char) and the
output is the complex modulated signal at baseband.
@param constellation: determines the modulation type
@type constellation: gnuradio.digital.gr_constellation
@param samples_per_symbol: samples per baud >= 2
@type samples_per_symbol: float
@param excess_bw: Root-raised cosine filter excess bandwidth
@type excess_bw: float
@param gray_coded: turn gray coding on/off
@type gray_coded: bool
@param verbose: Print information about modulator?
@type verbose: bool
@param log: Log modulation data to files?
@type log: bool
"""
gr.hier_block2.__init__(self, "generic_mod",
gr.io_signature(1, 1, gr.sizeof_char), # Input signature
gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature
self._constellation = constellation.base()
self._samples_per_symbol = samples_per_symbol
self._excess_bw = excess_bw
self._differential = differential
if self._samples_per_symbol < 2:
raise TypeError, ("sbp must be >= 2, is %f" % self._samples_per_symbol)
arity = pow(2,self.bits_per_symbol())
# turn bytes into k-bit vectors
self.bytes2chunks = \
gr.packed_to_unpacked_bb(self.bits_per_symbol(), gr.GR_MSB_FIRST)
if gray_coded == True:
self.symbol_mapper = digital.map_bb(self._constellation.pre_diff_code())
if differential:
self.diffenc = digital.diff_encoder_bb(arity)
self.chunks2symbols = digital.chunks_to_symbols_bc(self._constellation.points())
# pulse shaping filter
nfilts = 32
ntaps = nfilts * 11 * int(self._samples_per_symbol) # make nfilts filters of ntaps each
self.rrc_taps = gr.firdes.root_raised_cosine(
nfilts, # gain
nfilts, # sampling rate based on 32 filters in resampler
1.0, # symbol rate
self._excess_bw, # excess bandwidth (roll-off factor)
ntaps)
self.rrc_filter = gr.pfb_arb_resampler_ccf(self._samples_per_symbol,
self.rrc_taps)
# Connect
blocks = [self, self.bytes2chunks]
if gray_coded == True:
blocks.append(self.symbol_mapper)
if differential:
blocks.append(self.diffenc)
blocks += [self.chunks2symbols, self.rrc_filter, self]
self.connect(*blocks)
if verbose:
self._print_verbage()
if log:
self._setup_logging()
def __init__(self,
constellation,
samples_per_symbol=_def_samples_per_symbol,
differential=_def_differential,
excess_bw=_def_excess_bw,
gray_coded=True,
verbose=_def_verbose,
log=_def_log):
"""
Hierarchical block for RRC-filtered differential generic modulation.
The input is a byte stream (unsigned char) and the
output is the complex modulated signal at baseband.
@param constellation: determines the modulation type
@type constellation: gnuradio.digital.gr_constellation
@param samples_per_symbol: samples per baud >= 2
@type samples_per_symbol: float
@param excess_bw: Root-raised cosine filter excess bandwidth
@type excess_bw: float
@param gray_coded: turn gray coding on/off
@type gray_coded: bool
@param verbose: Print information about modulator?
@type verbose: bool
@param log: Log modulation data to files?
@type log: bool
"""
gr.hier_block2.__init__(
self,
"generic_mod",
gr.io_signature(1, 1, gr.sizeof_char), # Input signature
gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature
self._constellation = constellation.base()
self._samples_per_symbol = samples_per_symbol
self._excess_bw = excess_bw
self._differential = differential
if self._samples_per_symbol < 2:
raise TypeError, ("sbp must be >= 2, is %f" %
self._samples_per_symbol)
arity = pow(2, self.bits_per_symbol())
# turn bytes into k-bit vectors
self.bytes2chunks = \
gr.packed_to_unpacked_bb(self.bits_per_symbol(), gr.GR_MSB_FIRST)
if gray_coded == True:
self.symbol_mapper = digital.map_bb(
self._constellation.pre_diff_code())
if differential:
self.diffenc = digital.diff_encoder_bb(arity)
self.chunks2symbols = digital.chunks_to_symbols_bc(
self._constellation.points())
# pulse shaping filter
nfilts = 32
ntaps = nfilts * 11 * int(
self._samples_per_symbol) # make nfilts filters of ntaps each
self.rrc_taps = gr.firdes.root_raised_cosine(
nfilts, # gain
nfilts, # sampling rate based on 32 filters in resampler
1.0, # symbol rate
self._excess_bw, # excess bandwidth (roll-off factor)
ntaps)
self.rrc_filter = gr.pfb_arb_resampler_ccf(self._samples_per_symbol,
self.rrc_taps)
# Connect
blocks = [self, self.bytes2chunks]
if gray_coded == True:
blocks.append(self.symbol_mapper)
if differential:
blocks.append(self.diffenc)
blocks += [self.chunks2symbols, self.rrc_filter, self]
self.connect(*blocks)
if verbose:
self._print_verbage()
if log:
self._setup_logging()
