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-rw-r--r--dpd/src/Measure.py123
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diff --git a/dpd/src/Measure.py b/dpd/src/Measure.py
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+# -*- coding: utf-8 -*-
+
+import sys
+import socket
+import struct
+import numpy as np
+import logging
+import src.Dab_Util as DU
+
+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)
+
+ # Normalize received signal with sent signal
+ rx_median = np.median(np.abs(rxframe))
+ rxframe = rxframe / rx_median * np.median(np.abs(txframe))
+
+ if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
+ logging.debug("txframe: min %f, max %f, median %f" %
+ (np.min(np.abs(txframe)),
+ np.max(np.abs(txframe)),
+ np.median(np.abs(txframe))))
+
+ logging.debug("rxframe: min %f, max %f, median %f" %
+ (np.min(np.abs(rxframe)),
+ np.max(np.abs(rxframe)),
+ np.median(np.abs(rxframe))))
+
+ logging.debug("Disconnecting")
+ s.close()
+
+ du = DU.Dab_Util(self.samplerate)
+ txframe_aligned, rxframe_aligned = du.subsample_align(txframe, rxframe)
+
+ 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, rx_median
+
+# 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.