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-rwxr-xr-xgr-digital/examples/example_fll.py126
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diff --git a/gr-digital/examples/example_fll.py b/gr-digital/examples/example_fll.py
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+#!/usr/bin/env python
+
+from gnuradio import gr, digital
+from gnuradio import eng_notation
+from gnuradio.eng_option import eng_option
+from optparse import OptionParser
+
+try:
+ import scipy
+except ImportError:
+ print "Error: could not import scipy (http://www.scipy.org/)"
+ sys.exit(1)
+
+try:
+ import pylab
+except ImportError:
+ print "Error: could not import pylab (http://matplotlib.sourceforge.net/)"
+ sys.exit(1)
+
+class example_fll(gr.top_block):
+ def __init__(self, N, sps, rolloff, ntaps, bw, noise, foffset, toffset, poffset):
+ gr.top_block.__init__(self)
+
+ rrc_taps = gr.firdes.root_raised_cosine(
+ sps, sps, 1.0, rolloff, ntaps)
+
+ data = 2.0*scipy.random.randint(0, 2, N) - 1.0
+ data = scipy.exp(1j*poffset) * data
+
+ self.src = gr.vector_source_c(data.tolist(), False)
+ self.rrc = gr.interp_fir_filter_ccf(sps, rrc_taps)
+ self.chn = gr.channel_model(noise, foffset, toffset)
+ self.fll = digital.fll_band_edge_cc(sps, rolloff, ntaps, bw)
+
+ self.vsnk_src = gr.vector_sink_c()
+ self.vsnk_fll = gr.vector_sink_c()
+ self.vsnk_frq = gr.vector_sink_f()
+ self.vsnk_phs = gr.vector_sink_f()
+ self.vsnk_err = gr.vector_sink_f()
+
+ self.connect(self.src, self.rrc, self.chn, self.fll, self.vsnk_fll)
+ self.connect(self.rrc, self.vsnk_src)
+ self.connect((self.fll,1), self.vsnk_frq)
+ self.connect((self.fll,2), self.vsnk_phs)
+ self.connect((self.fll,3), self.vsnk_err)
+
+def main():
+ parser = OptionParser(option_class=eng_option, conflict_handler="resolve")
+ parser.add_option("-N", "--nsamples", type="int", default=2000,
+ help="Set the number of samples to process [default=%default]")
+ parser.add_option("-S", "--sps", type="int", default=4,
+ help="Set the samples per symbol [default=%default]")
+ parser.add_option("-r", "--rolloff", type="eng_float", default=0.35,
+ help="Set the rolloff factor [default=%default]")
+ parser.add_option("-W", "--bandwidth", type="eng_float", default=2*scipy.pi/100.0,
+ help="Set the loop bandwidth [default=%default]")
+ parser.add_option("-n", "--ntaps", type="int", default=45,
+ help="Set the number of taps in the filters [default=%default]")
+ parser.add_option("", "--noise", type="eng_float", default=0.0,
+ help="Set the simulation noise voltage [default=%default]")
+ parser.add_option("-f", "--foffset", type="eng_float", default=0.2,
+ help="Set the simulation's normalized frequency offset (in Hz) [default=%default]")
+ parser.add_option("-t", "--toffset", type="eng_float", default=1.0,
+ help="Set the simulation's timing offset [default=%default]")
+ parser.add_option("-p", "--poffset", type="eng_float", default=0.0,
+ help="Set the simulation's phase offset [default=%default]")
+ (options, args) = parser.parse_args ()
+
+ # Adjust N for the interpolation by sps
+ options.nsamples = options.nsamples // options.sps
+
+ # Set up the program-under-test
+ put = example_fll(options.nsamples, options.sps, options.rolloff,
+ options.ntaps, options.bandwidth, options.noise,
+ options.foffset, options.toffset, options.poffset)
+ put.run()
+
+ data_src = scipy.array(put.vsnk_src.data())
+ data_err = scipy.array(put.vsnk_err.data())
+
+ # Convert the FLL's LO frequency from rads/sec to Hz
+ data_frq = scipy.array(put.vsnk_frq.data()) / (2.0*scipy.pi)
+
+ # adjust this to align with the data. There are 2 filters of
+ # ntaps long and the channel introduces another 4 sample delay.
+ data_fll = scipy.array(put.vsnk_fll.data()[2*options.ntaps-4:])
+
+ # Plot the FLL's LO frequency
+ f1 = pylab.figure(1, figsize=(12,10))
+ s1 = f1.add_subplot(2,2,1)
+ s1.plot(data_frq)
+ s1.set_title("FLL LO")
+ s1.set_xlabel("Samples")
+ s1.set_ylabel("Frequency (normalized Hz)")
+
+ # Plot the FLL's error
+ s2 = f1.add_subplot(2,2,2)
+ s2.plot(data_err)
+ s2.set_title("FLL Error")
+ s2.set_xlabel("Samples")
+ s2.set_ylabel("FLL Loop error")
+
+ # Plot the IQ symbols
+ s3 = f1.add_subplot(2,2,3)
+ s3.plot(data_src.real, data_src.imag, "o")
+ s3.plot(data_fll.real, data_fll.imag, "rx")
+ s3.set_title("IQ")
+ s3.set_xlabel("Real part")
+ s3.set_ylabel("Imag part")
+
+ # Plot the symbols in time
+ s4 = f1.add_subplot(2,2,4)
+ s4.plot(data_src.real, "o-")
+ s4.plot(data_fll.real, "rx-")
+ s4.set_title("Symbols")
+ s4.set_xlabel("Samples")
+ s4.set_ylabel("Real Part of Signals")
+
+ pylab.show()
+
+if __name__ == "__main__":
+ try:
+ main()
+ except KeyboardInterrupt:
+ pass
+