mirror of
https://github.com/hb9fxq/gr-digitalhf
synced 2024-11-05 05:55:53 +00:00
72 lines
2.6 KiB
Python
72 lines
2.6 KiB
Python
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## -*- python -*-
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import numpy as np
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from gnuradio import digital
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class PhysicalLayer(object):
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"""Physical layer description for STANAG 4285"""
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def __init__(self, mode=0):
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"""For STANAG 4258 the mode has to be set manually: mode=0 -> BPSK, mode=1 -> QPSK, mode=2 -> 8PSK"""
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print('Hello from PhysicalLayer!\n')
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self._preamble = [get_preamble(), digital.constellation_bpsk()]
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self._constellations = [digital.constellation_bpsk(),
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digital.constellation_qpsk(),
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digital.constellation_8psk()]
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self._data = [get_data(), self._constellations[mode]]
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self._counter = 0
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def __del__(self):
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print('Bye from PhysicalLayer!\n')
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def set_mode(self):
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"""For STANAG 4258 the mode has to be set manually: mode=0 -> BPSK, mode=1 -> QPSK, mode=2 -> 8PSK"""
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self._data[1] = self._constellations[mode];
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def get_frame(self):
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"""returns the known+unknown symbols and scrambling"""
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print('get_frame', self._counter, self._preamble, self._preamble[1].__deref__())
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if self._counter == 0:
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return self._preamble
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else:
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return self._data
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def get_doppler(self, symbols):
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"""used for doppler shift update, for determining which frame to provide next,
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and for stopping at end of data/when the signal quality is too low"""
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self._counter = (self._counter+1)&2
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## TODO: doppler calculations
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doppler = 0.0
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return [True, doppler]
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def get_preamble():
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"""preamble symbols + scrambler(=1)"""
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state = np.array([1,1,0,1,0], dtype='b')
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taps = np.array([0,0,1,0,1], dtype='b')
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p = np.zeros(80, dtype='f')
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for i in range(80):
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p[i] = state[-1];
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state = np.concatenate(([np.sum(state&taps)&1], state[0:-1]))
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a = np.zeros(80, dtype=[('symb','c'), ('scramble', 'c')])
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## BPSK modulation
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a['symb'] = np.exp(np.pi*1j*p)
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a['scramble'] = 1;
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return a
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def get_data():
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"""data symbols + scrambler; for unknown symbols 'symb'=0"""
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state = np.array([1,1,1,1,1,1,1,1,1], dtype='b')
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taps = np.array([0,0,0,0,1,0,0,0,1], dtype='b')
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p = np.zeros(176, dtype='f')
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for i in range(176):
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p[i] = np.sum(state[-3:]*[4,2,1]);
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for j in range(3):
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state = np.concatenate(([np.sum(state&taps)&1], state[0:-1]))
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a=np.zeros(176, dtype=[('symb','c'), ('scramble', 'c')])
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## PSK-8 modulation
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a['scramble'] = np.exp(np.pi*1j*p/4)
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a['symb'][ 32: 48] = 1; ## mini-probe 1
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a['symb'][ 80: 96] = 1; ## mini-probe 2
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a['symb'][128:144] = 1; ## mini-probe 3
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return a
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