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pfb.py
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#!/usr/bin/env python
#
# Copyright 2009,2010,2012 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# SPDX-License-Identifier: GPL-3.0-or-later
#
#
import math
from gnuradio import gr, fft, blocks
from . import optfir
from . import filter_python as filter, fft
class channelizer_ccf(gr.hier_block2):
'''
Make a Polyphase Filter channelizer (complex in, complex out, floating-point taps)
This simplifies the interface by allowing a single input stream to connect to this block.
It will then output a stream for each channel.
'''
def __init__(self, numchans, taps=None, oversample_rate=1, atten=100):
gr.hier_block2.__init__(self, "pfb_channelizer_ccf",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(numchans, numchans, gr.sizeof_gr_complex))
self._nchans = numchans
self._oversample_rate = oversample_rate
if (taps is not None) and (len(taps) > 0):
self._taps = taps
else:
self._taps = self.create_taps(self._nchans, atten)
self.s2ss = blocks.stream_to_streams(
gr.sizeof_gr_complex, self._nchans)
self.pfb = filter.pfb_channelizer_ccf(self._nchans, self._taps,
self._oversample_rate)
self.connect(self, self.s2ss)
for i in range(self._nchans):
self.connect((self.s2ss, i), (self.pfb, i))
self.connect((self.pfb, i), (self, i))
def set_channel_map(self, newmap):
self.pfb.set_channel_map(newmap)
def set_taps(self, taps):
self.pfb.set_taps(taps)
def taps(self):
return self.pfb.taps()
def declare_sample_delay(self, delay):
self.pfb.declare_sample_delay(delay)
@staticmethod
def create_taps(numchans, atten=100):
# Create a filter that covers the full bandwidth of the input signal
bw = 0.4
tb = 0.2
ripple = 0.1
while True:
try:
taps = optfir.low_pass(1, numchans, bw, bw + tb, ripple, atten)
return tap
except ValueError as e:
# This shouldn't happen, unless numchans is strange
raise RuntimeError("couldn't design filter; this probably constitutes a bug")
except RuntimeError:
ripple += 0.01
print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))
# Build in an exit strategy; if we've come this far, it ain't working.
if(ripple >= 1.0):
raise RuntimeError(
"optfir could not generate an appropriate filter.")
class interpolator_ccf(gr.hier_block2):
'''
Make a Polyphase Filter interpolator (complex in, complex out, floating-point taps)
The block takes a single complex stream in and outputs a single complex
stream out. As such, it requires no extra glue to handle the input/output
streams. This block is provided to be consistent with the interface to the
other PFB block.
'''
def __init__(self, interp, taps=None, atten=100):
gr.hier_block2.__init__(self, "pfb_interpolator_ccf",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex))
self._interp = interp
self._taps = taps
if (taps is not None) and (len(taps) > 0):
self._taps = taps
else:
self._taps = self.create_taps(self._interp, atten)
self.pfb = filter.pfb_interpolator_ccf(self._interp, self._taps)
self.connect(self, self.pfb)
self.connect(self.pfb, self)
def set_taps(self, taps):
self.pfb.set_taps(taps)
def declare_sample_delay(self, delay):
self.pfb.declare_sample_delay(delay)
@staticmethod
def create_taps(interp, atten):
# Create a filter that covers the full bandwidth of the input signal
bw = 0.4
tb = 0.2
ripple = 0.99
while True:
try:
taps = optfir.low_pass(
interp, interp, bw, bw + tb, ripple, atten)
return taps
except RuntimeError:
ripple += 0.01
print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))
# Build in an exit strategy; if we've come this far, it ain't working.
if(ripple >= 1.0):
raise RuntimeError(
"optfir could not generate an appropriate filter.")
# We bubble up ValueError – probably caused by user input
class decimator_ccf(gr.hier_block2):
'''
Make a Polyphase Filter decimator (complex in, complex out, floating-point taps)
This simplifies the interface by allowing a single input stream to connect to this block.
It will then output a stream that is the decimated output stream.
'''
def __init__(self, decim, taps=None, channel=0, atten=100,
use_fft_rotators=True, use_fft_filters=True):
gr.hier_block2.__init__(self, "pfb_decimator_ccf",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex))
self._decim = decim
self._channel = channel
if (taps is not None) and (len(taps) > 0):
self._taps = taps
else:
self._taps = self.create_taps(self._decim, atten)
self.s2ss = blocks.stream_to_streams(gr.sizeof_gr_complex, self._decim)
self.pfb = filter.pfb_decimator_ccf(self._decim, self._taps, self._channel,
use_fft_rotators, use_fft_filters)
self.connect(self, self.s2ss)
for i in range(self._decim):
self.connect((self.s2ss, i), (self.pfb, i))
self.connect(self.pfb, self)
def set_taps(self, taps):
self.pfb.set_taps(taps)
def set_channel(self, chan):
self.pfb.set_channel(chan)
def declare_sample_delay(self, delay):
self.pfb.declare_sample_delay(delay)
@staticmethod
def create_taps(decim, atten=100):
# Create a filter that covers the full bandwidth of the input signal
bw = 0.4
tb = 0.2
ripple = 0.1
while True:
try:
taps = optfir.low_pass(1, decim, bw, bw + tb, ripple, atten)
return taps
except RuntimeError:
ripple += 0.01
print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))
# Build in an exit strategy; if we've come this far, it ain't working.
if(ripple >= 1.0):
raise RuntimeError(
"optfir could not generate an appropriate filter.")
# Not handling ValueError – probably a user input caused this.
class arb_resampler_ccf(gr.hier_block2):
'''
Convenience wrapper for the polyphase filterbank arbitrary resampler.
The block takes a single complex stream in and outputs a single complex
stream out. As such, it requires no extra glue to handle the input/output
streams. This block is provided to be consistent with the interface to the
other PFB block.
'''
def __init__(self, rate, taps=None, flt_size=32, atten=100):
gr.hier_block2.__init__(self, "pfb_arb_resampler_ccf",
# Input signature
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature
self._rate = rate
self._size = flt_size
if (taps is not None) and (len(taps) > 0):
self._taps = taps
else:
self._taps = self.create_taps(self._rate, self._size, atten)
self.pfb = filter.pfb_arb_resampler_ccf(
self._rate, self._taps, self._size)
#print("PFB has %d taps\n" % (len(self._taps),))
self.connect(self, self.pfb)
self.connect(self.pfb, self)
# Note -- set_taps not implemented in base class yet
def set_taps(self, taps):
self.pfb.set_taps(taps)
def set_rate(self, rate):
self.pfb.set_rate(rate)
def declare_sample_delay(self, delay):
self.pfb.declare_sample_delay(delay)
@staticmethod
def create_taps(rate, flt_size=32, atten=100):
# Create a filter that covers the full bandwidth of the output signal
# If rate >= 1, we need to prevent images in the output,
# so we have to filter it to less than half the channel
# width of 0.5. If rate < 1, we need to filter to less
# than half the output signal's bw to avoid aliasing, so
# the half-band here is 0.5*rate.
percent = 0.80
if(rate < 1):
halfband = 0.5 * rate
bw = percent * halfband
tb = (percent / 2.0) * halfband
ripple = 0.1
# As we drop the bw factor, the optfir filter has a harder time converging;
# using the firdes method here for better results.
return filter.firdes.low_pass_2(flt_size, flt_size, bw, tb, atten,
fft.window.WIN_BLACKMAN_HARRIS)
else:
halfband = 0.5
bw = percent * halfband
tb = (percent / 2.0) * halfband
ripple = 0.1
taps = None
while True:
try:
taps = optfir.low_pass(
flt_size, flt_size, bw, bw + tb, ripple, atten)
return taps
except RuntimeError:
ripple += 0.01
print(
"Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))
# Build in an exit strategy; if we've come this far, it ain't working.
if(ripple >= 1.0):
raise RuntimeError(
"optfir could not generate an appropriate filter.")
# We intentionally don't handle ValueError here, because it's most likely caused by user input
class arb_resampler_fff(gr.hier_block2):
'''
Convenience wrapper for the polyphase filterbank arbitrary resampler.
The block takes a single float stream in and outputs a single float
stream out. As such, it requires no extra glue to handle the input/output
streams. This block is provided to be consistent with the interface to the
other PFB block.
'''
def __init__(self, rate, taps=None, flt_size=32, atten=100):
gr.hier_block2.__init__(self, "pfb_arb_resampler_fff",
# Input signature
gr.io_signature(1, 1, gr.sizeof_float),
gr.io_signature(1, 1, gr.sizeof_float)) # Output signature
self._rate = rate
self._size = flt_size
if (taps is not None) and (len(taps) > 0):
self._taps = taps
else:
self._taps = self.create_taps(self._rate, self._size, atten)
self.pfb = filter.pfb_arb_resampler_fff(
self._rate, self._taps, self._size)
# print "PFB has %d taps\n" % (len(self._taps),)
self.connect(self, self.pfb)
self.connect(self.pfb, self)
# Note -- set_taps not implemented in base class yet
def set_taps(self, taps):
self.pfb.set_taps(taps)
def set_rate(self, rate):
self.pfb.set_rate(rate)
def declare_sample_delay(self, delay):
self.pfb.declare_sample_delay(delay)
@staticmethod
def create_taps(rate, flt_size=32, atten=100):
# Create a filter that covers the full bandwidth of the input signal
# If rate >= 1, we need to prevent images in the output,
# so we have to filter it to less than half the channel
# width of 0.5. If rate < 1, we need to filter to less
# than half the output signal's bw to avoid aliasing, so
# the half-band here is 0.5*rate.
percent = 0.80
if(rate < 1):
halfband = 0.5 * rate
bw = percent * halfband
tb = (percent / 2.0) * halfband
ripple = 0.1
# As we drop the bw factor, the optfir filter has a harder time converging;
# using the firdes method here for better results.
return filter.firdes.low_pass_2(flt_size, flt_size, bw, tb, atten,
fft.window.WIN_BLACKMAN_HARRIS)
else:
halfband = 0.5
bw = percent * halfband
tb = (percent / 2.0) * halfband
ripple = 0.1
while True:
try:
taps = optfir.low_pass(
flt_size, flt_size, bw, bw + tb, ripple, atten)
return taps
except RuntimeError:
ripple += 0.01
print(
"Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))
# Build in an exit strategy; if we've come this far, it ain't working.
if(ripple >= 1.0):
raise RuntimeError(
"optfir could not generate an appropriate filter.")
# If a ValueError happens here, it's probably due to specific user input
class arb_resampler_ccc(gr.hier_block2):
'''
Convenience wrapper for the polyphase filterbank arbitrary resampler.
The block takes a single complex stream in and outputs a single complex
stream out. As such, it requires no extra glue to handle the input/output
streams. This block is provided to be consistent with the interface to the
other PFB block.
'''
def __init__(self, rate, taps=None, flt_size=32, atten=100):
gr.hier_block2.__init__(self, "pfb_arb_resampler_ccc",
# Input signature
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature
self._rate = rate
self._size = flt_size
if (taps is not None) and (len(taps) > 0):
self._taps = taps
else:
self._taps = self.create_taps(self._rate, self._size, atten)
self.pfb = filter.pfb_arb_resampler_ccc(
self._rate, self._taps, self._size)
# print "PFB has %d taps\n" % (len(self._taps),)
self.connect(self, self.pfb)
self.connect(self.pfb, self)
# Note -- set_taps not implemented in base class yet
def set_taps(self, taps):
self.pfb.set_taps(taps)
def set_rate(self, rate):
self.pfb.set_rate(rate)
def declare_sample_delay(self, delay):
self.pfb.declare_sample_delay(delay)
@staticmethod
def create_taps(rate, flt_size=32, atten=100):
# Create a filter that covers the full bandwidth of the input signal
bw = 0.4
tb = 0.2
ripple = 0.1
while True:
try:
taps = optfir.low_pass(
flt_size, flt_size, bw, bw + tb, ripple, atten)
return taps
except RuntimeError:
ripple += 0.01
print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))
# Build in an exit strategy; if we've come this far, it ain't working.
if(ripple >= 1.0):
raise RuntimeError(
"optfir could not generate an appropriate filter.")
# If a ValueError happens here, it's probably due to specific user input
class channelizer_hier_ccf(gr.hier_block2):
"""
Make a Polyphase Filter channelizer (complex in, complex out, floating-point taps)
Args:
n_chans: The number of channels to split into.
n_filterbanks: The number of filterbank blocks to use (default=2).
taps: The taps to use. If this is `None` then taps are generated using optfir.low_pass.
outchans: Which channels to output streams for (a list of integers) (default is all channels).
atten: Stop band attenuation.
bw: The fraction of the channel you want to keep.
tb: Transition band with as fraction of channel width.
ripple: Pass band ripple in dB.
"""
def __init__(self, n_chans, n_filterbanks=1, taps=None, outchans=None,
atten=100, bw=1.0, tb=0.2, ripple=0.1):
if n_filterbanks > n_chans:
n_filterbanks = n_chans
if outchans is None:
outchans = list(range(n_chans))
gr.hier_block2.__init__(
self, "pfb_channelizer_hier_ccf",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(len(outchans), len(outchans), gr.sizeof_gr_complex))
if taps is None:
taps = self.create_taps(n_chans, atten, bw, tb, ripple)
taps = list(taps)
extra_taps = int(math.ceil(1.0 * len(taps) / n_chans) *
n_chans - len(taps))
taps = taps + [0] * extra_taps
# Make taps for each channel
chantaps = [list(reversed(taps[i: len(taps): n_chans]))
for i in range(0, n_chans)]
# Convert the input stream into a stream of vectors.
self.s2v = blocks.stream_to_vector(gr.sizeof_gr_complex, n_chans)
# Create a mapping to separate out each filterbank (a group of channels to be processed together)
# And a list of sets of taps for each filterbank.
low_cpp = int(n_chans / n_filterbanks)
extra = n_chans - low_cpp * n_filterbanks
cpps = [low_cpp + 1] * extra + [low_cpp] * (n_filterbanks - extra)
splitter_mapping = []
filterbanktaps = []
total = 0
for cpp in cpps:
splitter_mapping.append([(0, i)
for i in range(total, total + cpp)])
filterbanktaps.append(chantaps[total: total + cpp])
total += cpp
assert(total == n_chans)
# Split the stream of vectors in n_filterbanks streams of vectors.
self.splitter = blocks.vector_map(
gr.sizeof_gr_complex, [n_chans], splitter_mapping)
# Create the filterbanks
self.fbs = [filter.filterbank_vcvcf(taps) for taps in filterbanktaps]
# Combine the streams of vectors back into a single stream of vectors.
combiner_mapping = [[]]
for i, cpp in enumerate(cpps):
for j in range(cpp):
combiner_mapping[0].append((i, j))
self.combiner = blocks.vector_map(
gr.sizeof_gr_complex, cpps, combiner_mapping)
# Add the final FFT to the channelizer.
self.fft = fft.fft_vcc(n_chans, forward=True, window=[1.0] * n_chans)
# Select the desired channels
if outchans != list(range(n_chans)):
selector_mapping = [[(0, i) for i in outchans]]
self.selector = blocks.vector_map(
gr.sizeof_gr_complex, [n_chans], selector_mapping)
# Convert stream of vectors to a normal stream.
self.v2ss = blocks.vector_to_streams(
gr.sizeof_gr_complex, len(outchans))
self.connect(self, self.s2v, self.splitter)
for i in range(0, n_filterbanks):
self.connect((self.splitter, i), self.fbs[i], (self.combiner, i))
self.connect(self.combiner, self.fft)
if outchans != list(range(n_chans)):
self.connect(self.fft, self.selector, self.v2ss)
else:
self.connect(self.fft, self.v2ss)
for i in range(0, len(outchans)):
self.connect((self.v2ss, i), (self, i))
@staticmethod
def create_taps(n_chans, atten=100, bw=1.0, tb=0.2, ripple=0.1):
return optfir.low_pass(1, n_chans, bw, bw + tb, ripple, atten)