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-# -*- coding: utf-8 -*-
-#
-# DPD Computation Engine, utilities for working with DAB signals.
-#
-# 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 matplotlib
-
-matplotlib.use('agg')
-import matplotlib.pyplot as plt
-import src.subsample_align as sa
-import src.phase_align as pa
-from scipy import signal
-
-
-def fromfile(filename, offset=0, length=None):
- if length is None:
- return np.memmap(filename, dtype=np.complex64, mode='r', offset=64 / 8 * offset)
- else:
- return np.memmap(filename, dtype=np.complex64, mode='r', offset=64 / 8 * offset, shape=length)
-
-
-class Dab_Util:
- """Collection of methods that can be applied to an array
- complex IQ samples of a DAB signal
- """
-
- def __init__(self, config, sample_rate, plot=False):
- """
- :param sample_rate: sample rate [sample/sec] to use for calculations
- """
- self.c = config
- self.sample_rate = sample_rate
- self.dab_bandwidth = 1536000 # Bandwidth of a dab signal
- self.frame_ms = 96 # Duration of a Dab frame
-
- self.plot = plot
-
- def lag(self, sig_orig, sig_rec):
- """
- Find lag between two signals
- Args:
- sig_orig: The signal that has been sent
- sig_rec: The signal that has been recored
- """
- off = sig_rec.shape[0]
- c = np.abs(signal.correlate(sig_orig, sig_rec))
-
- if self.plot and self.c.plot_location is not None:
- dt = datetime.datetime.now().isoformat()
- corr_path = self.c.plot_location + "/" + dt + "_tx_rx_corr.png"
- plt.plot(c, label="corr")
- plt.legend()
- plt.savefig(corr_path)
- plt.close()
-
- return np.argmax(c) - off + 1
-
- def lag_upsampling(self, sig_orig, sig_rec, n_up):
- if n_up != 1:
- sig_orig_up = signal.resample(sig_orig, sig_orig.shape[0] * n_up)
- sig_rec_up = signal.resample(sig_rec, sig_rec.shape[0] * n_up)
- else:
- sig_orig_up = sig_orig
- sig_rec_up = sig_rec
- l = self.lag(sig_orig_up, sig_rec_up)
- l_orig = float(l) / n_up
- return l_orig
-
- def subsample_align_upsampling(self, sig_tx, sig_rx, n_up=32):
- """
- Returns an aligned version of sig_tx and sig_rx by cropping and subsample alignment
- Using upsampling
- """
- assert (sig_tx.shape[0] == sig_rx.shape[0])
-
- if sig_tx.shape[0] % 2 == 1:
- sig_tx = sig_tx[:-1]
- sig_rx = sig_rx[:-1]
-
- sig1_up = signal.resample(sig_tx, sig_tx.shape[0] * n_up)
- sig2_up = signal.resample(sig_rx, sig_rx.shape[0] * n_up)
-
- off_meas = self.lag_upsampling(sig2_up, sig1_up, n_up=1)
- off = int(abs(off_meas))
-
- if off_meas > 0:
- sig1_up = sig1_up[:-off]
- sig2_up = sig2_up[off:]
- elif off_meas < 0:
- sig1_up = sig1_up[off:]
- sig2_up = sig2_up[:-off]
-
- sig_tx = signal.resample(sig1_up, sig1_up.shape[0] / n_up).astype(np.complex64)
- sig_rx = signal.resample(sig2_up, sig2_up.shape[0] / n_up).astype(np.complex64)
- return sig_tx, sig_rx
-
- def subsample_align(self, sig_tx, sig_rx):
- """
- Returns an aligned version of sig_tx and sig_rx by cropping and subsample alignment
- """
-
- if self.plot and self.c.plot_location is not None:
- dt = datetime.datetime.now().isoformat()
- fig_path = self.c.plot_location + "/" + dt + "_sync_raw.png"
-
- fig, axs = plt.subplots(2)
- axs[0].plot(np.abs(sig_tx[:128]), label="TX Frame")
- axs[0].plot(np.abs(sig_rx[:128]), label="RX Frame")
- axs[0].set_title("Raw Data")
- axs[0].set_ylabel("Amplitude")
- axs[0].set_xlabel("Samples")
- axs[0].legend(loc=4)
-
- axs[1].plot(np.real(sig_tx[:128]), label="TX Frame")
- axs[1].plot(np.real(sig_rx[:128]), label="RX Frame")
- axs[1].set_title("Raw Data")
- axs[1].set_ylabel("Real Part")
- axs[1].set_xlabel("Samples")
- axs[1].legend(loc=4)
-
- fig.tight_layout()
- fig.savefig(fig_path)
- plt.close(fig)
-
- off_meas = self.lag_upsampling(sig_rx, sig_tx, n_up=1)
- off = int(abs(off_meas))
-
- logging.debug("sig_tx_orig: {} {}, sig_rx_orig: {} {}, offset {}".format(
- len(sig_tx),
- sig_tx.dtype,
- len(sig_rx),
- sig_rx.dtype,
- off_meas))
-
- if off_meas > 0:
- sig_tx = sig_tx[:-off]
- sig_rx = sig_rx[off:]
- elif off_meas < 0:
- sig_tx = sig_tx[off:]
- sig_rx = sig_rx[:-off]
-
- if off % 2 == 1:
- sig_tx = sig_tx[:-1]
- sig_rx = sig_rx[:-1]
-
- if self.plot and self.c.plot_location is not None:
- dt = datetime.datetime.now().isoformat()
- fig_path = self.c.plot_location + "/" + dt + "_sync_sample_aligned.png"
-
- fig, axs = plt.subplots(2)
- axs[0].plot(np.abs(sig_tx[:128]), label="TX Frame")
- axs[0].plot(np.abs(sig_rx[:128]), label="RX Frame")
- axs[0].set_title("Sample Aligned Data")
- axs[0].set_ylabel("Amplitude")
- axs[0].set_xlabel("Samples")
- axs[0].legend(loc=4)
-
- axs[1].plot(np.real(sig_tx[:128]), label="TX Frame")
- axs[1].plot(np.real(sig_rx[:128]), label="RX Frame")
- axs[1].set_ylabel("Real Part")
- axs[1].set_xlabel("Samples")
- axs[1].legend(loc=4)
-
- fig.tight_layout()
- fig.savefig(fig_path)
- plt.close(fig)
-
- sig_rx = sa.subsample_align(sig_rx, sig_tx)
-
- if self.plot and self.c.plot_location is not None:
- dt = datetime.datetime.now().isoformat()
- fig_path = self.c.plot_location + "/" + dt + "_sync_subsample_aligned.png"
-
- fig, axs = plt.subplots(2)
- axs[0].plot(np.abs(sig_tx[:128]), label="TX Frame")
- axs[0].plot(np.abs(sig_rx[:128]), label="RX Frame")
- axs[0].set_title("Subsample Aligned")
- axs[0].set_ylabel("Amplitude")
- axs[0].set_xlabel("Samples")
- axs[0].legend(loc=4)
-
- axs[1].plot(np.real(sig_tx[:128]), label="TX Frame")
- axs[1].plot(np.real(sig_rx[:128]), label="RX Frame")
- axs[1].set_ylabel("Real Part")
- axs[1].set_xlabel("Samples")
- axs[1].legend(loc=4)
-
- fig.tight_layout()
- fig.savefig(fig_path)
- plt.close(fig)
-
- sig_rx = pa.phase_align(sig_rx, sig_tx)
-
- if self.plot and self.c.plot_location is not None:
- dt = datetime.datetime.now().isoformat()
- fig_path = self.c.plot_location + "/" + dt + "_sync_phase_aligned.png"
-
- fig, axs = plt.subplots(2)
- axs[0].plot(np.abs(sig_tx[:128]), label="TX Frame")
- axs[0].plot(np.abs(sig_rx[:128]), label="RX Frame")
- axs[0].set_title("Phase Aligned")
- axs[0].set_ylabel("Amplitude")
- axs[0].set_xlabel("Samples")
- axs[0].legend(loc=4)
-
- axs[1].plot(np.real(sig_tx[:128]), label="TX Frame")
- axs[1].plot(np.real(sig_rx[:128]), label="RX Frame")
- axs[1].set_ylabel("Real Part")
- axs[1].set_xlabel("Samples")
- axs[1].legend(loc=4)
-
- fig.tight_layout()
- fig.savefig(fig_path)
- plt.close(fig)
-
- logging.debug(
- "Sig1_cut: %d %s, Sig2_cut: %d %s, off: %d" % (len(sig_tx), sig_tx.dtype, len(sig_rx), sig_rx.dtype, off))
- return sig_tx, sig_rx
-
-# 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.
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