# -*- coding: utf-8 -*- import sys import socket import struct import numpy as np import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation import argparse import os import time import logging import src.Dab_Util as DU import datetime class Measure: """Collect Measurement from DabMod""" def __init__(self, samplerate, port, num_samples_to_request): logging.info("Instantiate Measure object") self.samplerate = samplerate self.sizeof_sample = 8 # complex floats self.port = port self.num_samples_to_request = num_samples_to_request def _recv_exact(self, sock, num_bytes): """Receive an exact number of bytes from a socket. This is a wrapper around sock.recv() that can return less than the number of requested bytes. Args: sock (socket): Socket to receive data from. num_bytes (int): Number of bytes that will be returned. """ bufs = [] while num_bytes > 0: b = sock.recv(num_bytes) if len(b) == 0: break num_bytes -= len(b) bufs.append(b) return b''.join(bufs) def get_samples(self): """Connect to ODR-DabMod, retrieve TX and RX samples, load into numpy arrays, and return a tuple (tx_timestamp, tx_samples, rx_timestamp, rx_samples) where the timestamps are doubles, and the samples are numpy arrays of complex floats, both having the same size """ s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.connect(('localhost', self.port)) logging.debug("Send version") s.sendall(b"\x01") logging.debug("Send request for {} samples".format(self.num_samples_to_request)) s.sendall(struct.pack("=I", self.num_samples_to_request)) logging.debug("Wait for TX metadata") num_samps, tx_second, tx_pps = struct.unpack("=III", self._recv_exact(s, 12)) tx_ts = tx_second + tx_pps / 16384000.0 if num_samps > 0: logging.debug("Receiving {} TX samples".format(num_samps)) txframe_bytes = self._recv_exact(s, num_samps * self.sizeof_sample) txframe = np.fromstring(txframe_bytes, dtype=np.complex64) else: txframe = np.array([], dtype=np.complex64) logging.debug("Wait for RX metadata") rx_second, rx_pps = struct.unpack("=II", self._recv_exact(s, 8)) rx_ts = rx_second + rx_pps / 16384000.0 if num_samps > 0: logging.debug("Receiving {} RX samples".format(num_samps)) rxframe_bytes = self._recv_exact(s, num_samps * self.sizeof_sample) rxframe = np.fromstring(rxframe_bytes, dtype=np.complex64) else: rxframe = np.array([], dtype=np.complex64) txframe = txframe / np.median(np.abs(txframe)) rxframe = rxframe / np.median(np.abs(rxframe)) if logging.getLogger().getEffectiveLevel() == logging.DEBUG: txframe_path = ('/tmp/txframe_fft_' + datetime.datetime.now().isoformat() + '.pdf') plt.plot(np.abs(np.fft.fftshift(np.fft.fft(txframe[:self.samplerate])))) plt.savefig(txframe_path) plt.clf() rxframe_path = ('/tmp/rxframe_fft_' + datetime.datetime.now().isoformat() + '.pdf') plt.plot(np.abs(np.fft.fftshift(np.fft.fft(rxframe[:self.samplerate])))) plt.savefig(rxframe_path) plt.clf() logging.debug("txframe: min %f, max %f, median %f, spectrum %s" % (np.min(np.abs(txframe)), np.max(np.abs(txframe)), np.median(np.abs(txframe)), txframe_path)) logging.debug("rxframe: min %f, max %f, median %f, spectrum %s" % (np.min(np.abs(rxframe)), np.max(np.abs(rxframe)), np.median(np.abs(rxframe)), rxframe_path)) dt = datetime.datetime.now().isoformat() tx_rx_frame_path = ('/tmp/tx_rx_sync0_' + dt + '.pdf') plt.plot(np.abs(rxframe[:128]), label="rxframe") plt.plot(np.abs(txframe[:128]), label="txframe") plt.xlabel("Samples") plt.ylabel("Real Part") plt.legend() plt.savefig(tx_rx_frame_path) plt.clf() logging.debug("Disconnecting") s.close() du = DU.Dab_Util(self.samplerate) txframe_aligned, rxframe_aligned = du.subsample_align(txframe, rxframe) if logging.getLogger().getEffectiveLevel() == logging.DEBUG: tx_rx_frame_path = ('/tmp/tx_rx_sync1_' + datetime.datetime.now().isoformat() + '.pdf') plt.plot(np.abs(rxframe_aligned[:128]), label="rxframe") plt.plot(np.abs(txframe_aligned[:128]), label="txframe") plt.xlabel("Samples") plt.ylabel("Real Part") plt.legend() plt.savefig(tx_rx_frame_path) plt.clf() logging.info( "Measurement done, tx %d %s, rx %d %s, tx aligned %d %s, rx aligned %d %s" % (len(txframe), txframe.dtype, len(rxframe), rxframe.dtype, len(txframe_aligned), txframe_aligned.dtype, len(rxframe_aligned), rxframe_aligned.dtype) ) return txframe_aligned, tx_ts, rxframe_aligned, rx_ts # 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.