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Diffstat (limited to 'python/dpd/src/Symbol_align.py')
| -rw-r--r-- | python/dpd/src/Symbol_align.py | 193 |
1 files changed, 0 insertions, 193 deletions
diff --git a/python/dpd/src/Symbol_align.py b/python/dpd/src/Symbol_align.py deleted file mode 100644 index 2a17a65..0000000 --- a/python/dpd/src/Symbol_align.py +++ /dev/null @@ -1,193 +0,0 @@ -# -*- coding: utf-8 -*- -# -# DPD Computation Engine, Modulation Error Rate. -# -# http://www.opendigitalradio.org -# Licence: The MIT License, see notice at the end of this file - -import datetime -import os -import logging -import numpy as np -import scipy -import matplotlib - -matplotlib.use('agg') -import matplotlib.pyplot as plt - - -def _remove_outliers(x, stds=5): - deviation_from_mean = np.abs(x - np.mean(x)) - inlier_idxs = deviation_from_mean < stds * np.std(x) - x = x[inlier_idxs] - return x - - -def _calc_delta_angle(fft): - # Introduce invariance against carrier - angles = np.angle(fft) % (np.pi / 2.) - - # Calculate Angle difference and compensate jumps - deltas_angle = np.diff(angles) - deltas_angle[deltas_angle > np.pi / 4.] = \ - deltas_angle[deltas_angle > np.pi / 4.] - np.pi / 2. - deltas_angle[-deltas_angle > np.pi / 4.] = \ - deltas_angle[-deltas_angle > np.pi / 4.] + np.pi / 2. - deltas_angle = _remove_outliers(deltas_angle) - - delta_angle = np.mean(deltas_angle) - - return delta_angle - - -class Symbol_align: - """ - Find the phase offset to the start of the DAB symbols in an - unaligned dab signal. - """ - - def __init__(self, c, plot=False): - self.c = c - self.plot = plot - pass - - def _calc_offset_to_first_symbol_without_prefix(self, tx): - tx_orig = tx[0:-self.c.T_U] - tx_cut_prefix = tx[self.c.T_U:] - - tx_product = np.abs(tx_orig - tx_cut_prefix) - tx_product_avg = np.correlate( - tx_product, - np.ones(self.c.T_C), - mode='valid') - tx_product_avg_min_filt = \ - scipy.ndimage.filters.minimum_filter1d( - tx_product_avg, - int(1.5 * self.c.T_S) - ) - peaks = np.ravel(np.where(tx_product_avg == tx_product_avg_min_filt)) - - offset = peaks[np.argmin([tx_product_avg[peak] for peak in peaks])] - - if self.plot and self.c.plot_location is not None: - dt = datetime.datetime.now().isoformat() - fig_path = self.c.plot_location + "/" + dt + "_Symbol_align.png" - - fig = plt.figure(figsize=(9, 9)) - - ax = fig.add_subplot(4, 1, 1) - ax.plot(tx_product) - ylim = ax.get_ylim() - for peak in peaks: - ax.plot((peak, peak), (ylim[0], ylim[1])) - if peak == offset: - ax.text(peak, ylim[0] + 0.3 * np.diff(ylim), "offset", rotation=90) - else: - ax.text(peak, ylim[0] + 0.2 * np.diff(ylim), "peak", rotation=90) - ax.set_xlabel("Sample") - ax.set_ylabel("Conj. Product") - ax.set_title("Difference with shifted self") - - ax = fig.add_subplot(4, 1, 2) - ax.plot(tx_product_avg) - ylim = ax.get_ylim() - for peak in peaks: - ax.plot((peak, peak), (ylim[0], ylim[1])) - if peak == offset: - ax.text(peak, ylim[0] + 0.3 * np.diff(ylim), "offset", rotation=90) - else: - ax.text(peak, ylim[0] + 0.2 * np.diff(ylim), "peak", rotation=90) - ax.set_xlabel("Sample") - ax.set_ylabel("Conj. Product") - ax.set_title("Moving Average") - - ax = fig.add_subplot(4, 1, 3) - ax.plot(tx_product_avg_min_filt) - ylim = ax.get_ylim() - for peak in peaks: - ax.plot((peak, peak), (ylim[0], ylim[1])) - if peak == offset: - ax.text(peak, ylim[0] + 0.3 * np.diff(ylim), "offset", rotation=90) - else: - ax.text(peak, ylim[0] + 0.2 * np.diff(ylim), "peak", rotation=90) - ax.set_xlabel("Sample") - ax.set_ylabel("Conj. Product") - ax.set_title("Min Filter") - - ax = fig.add_subplot(4, 1, 4) - tx_product_crop = tx_product[peaks[0] - 50:peaks[0] + 50] - x = range(tx_product.shape[0])[peaks[0] - 50:peaks[0] + 50] - ax.plot(x, tx_product_crop) - ylim = ax.get_ylim() - ax.plot((peaks[0], peaks[0]), (ylim[0], ylim[1])) - ax.set_xlabel("Sample") - ax.set_ylabel("Conj. Product") - ax.set_title("Difference with shifted self") - - fig.tight_layout() - fig.savefig(fig_path) - plt.close(fig) - - # "offset" measures where the shifted signal matches the - # original signal. Therefore we have to subtract the size - # of the shift to find the offset of the symbol start. - return (offset + self.c.T_C) % self.c.T_S - - def _delta_angle_to_samples(self, angle): - return - angle / self.c.phase_offset_per_sample - - def _calc_sample_offset(self, sig): - assert sig.shape[0] == self.c.T_U, \ - "Input length is not a Symbol without cyclic prefix" - - fft = np.fft.fftshift(np.fft.fft(sig)) - fft_crop = np.delete(fft[self.c.FFT_start:self.c.FFT_end], self.c.FFT_delete) - delta_angle = _calc_delta_angle(fft_crop) - delta_sample = self._delta_angle_to_samples(delta_angle) - delta_sample_int = np.round(delta_sample).astype(int) - error = np.abs(delta_sample_int - delta_sample) - if error > 0.1: - raise RuntimeError("Could not calculate " \ - "sample offset. Error {}".format(error)) - return delta_sample_int - - def calc_offset(self, tx): - """Calculate the offset the first symbol""" - off_sym = self._calc_offset_to_first_symbol_without_prefix( - tx) - off_sam = self._calc_sample_offset( - tx[off_sym:off_sym + self.c.T_U]) - off = (off_sym + off_sam) % self.c.T_S - - assert self._calc_sample_offset(tx[off:off + self.c.T_U]) == 0, \ - "Failed to calculate offset" - return off - - def crop_symbol_without_cyclic_prefix(self, tx): - off = self.calc_offset(tx) - return tx[ - off: - off + self.c.T_U - ] - -# The MIT License (MIT) -# -# Copyright (c) 2017 Andreas Steger -# -# Permission is hereby granted, free of charge, to any person obtaining a copy -# of this software and associated documentation files (the "Software"), to deal -# in the Software without restriction, including without limitation the rights -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -# copies of the Software, and to permit persons to whom the Software is -# furnished to do so, subject to the following conditions: -# -# The above copyright notice and this permission notice shall be included in all -# copies or substantial portions of the Software. -# -# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -# SOFTWARE. |