1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This is an example tool that shows how to connect to ODR-DabMod's dpd TCP server
# and get samples from there.
#
# Since the TX and RX samples are not perfectly aligned, the tool has to align them properly,
# which is done in two steps: First on sample-level using a correlation, then with subsample
# accuracy using a FFT approach.
#
# It requires SciPy and matplotlib.
#
# Copyright (C) 2017 Matthias P. Braendli
# http://www.opendigitalradio.org
# Licence: The MIT License, see notice at the end of this file
import sys
import socket
import struct
import numpy as np
import matplotlib as mp
import scipy.signal
SIZEOF_SAMPLE = 8 # complex floats
if len(sys.argv) != 3:
print("Usage: show_spectrum.py <port> <number of samples to request>")
sys.exit(1)
port = int(sys.argv[1])
num_samps_to_request = int(sys.argv[2])
def get_samples(port, num_samps_to_request):
"""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', port))
print("Send version");
s.sendall(b"\x01")
print("Send request for {} samples".format(num_samps_to_request))
s.sendall(struct.pack("=I", num_samps_to_request))
print("Wait for TX metadata")
num_samps, tx_second, tx_pps = struct.unpack("=III", s.recv(12))
tx_ts = tx_second + tx_pps / 16384000.0
print("Receiving {} TX samples".format(num_samps))
txframe_bytes = s.recv(num_samps * SIZEOF_SAMPLE)
txframe = np.fromstring(txframe_bytes, dtype=np.complex64)
print("Wait for RX metadata")
rx_second, rx_pps = struct.unpack("=II", s.recv(8))
rx_ts = rx_second + rx_pps / 16384000.0
print("Receiving {} RX samples".format(num_samps))
rxframe_bytes = s.recv(num_samps * SIZEOF_SAMPLE)
rxframe = np.fromstring(rxframe_bytes, dtype=np.complex64)
print("Disconnecting")
s.close()
return (tx_ts, txframe, rx_ts, rxframe)
tx_ts, txframe, rx_ts, rxframe = get_samples(port, num_samps_to_request)
print("Received {} & {} frames at {} and {}".format(
len(txframe), len(rxframe), tx_ts, rx_ts))
# The MIT License (MIT)
#
# Copyright (c) 2017 Matthias P. Braendli
#
# 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.
|
