summaryrefslogtreecommitdiffstats
path: root/python/dpd/Adapt.py
blob: 9c2c2b6c4cdc3d65426e2a2180f1300d36acbe80 (plain)
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
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
# -*- coding: utf-8 -*-
#
# DPD Computation Engine: updates ODR-DabMod's settings
#
# http://www.opendigitalradio.org
# Licence: The MIT License, see notice at the end of this file
"""
This module is used to change settings of ODR-DabMod using
the ZMQ remote control socket.
"""

import logging
import numpy as np
import os.path
import pickle
from lib import zmqrc
from typing import List

LUT_LEN = 32
FORMAT_POLY = 1
FORMAT_LUT = 2


def _write_poly_coef_file(coefs_am: List[float], coefs_pm: List[float], path: str) -> None:
    assert len(coefs_am) == len(coefs_pm)

    with open(path, 'w') as f:
        f.write("{}\n{}\n".format(FORMAT_POLY, len(coefs_am)))
        for coef in coefs_am:
            f.write("{}\n".format(coef))
        for coef in coefs_pm:
            f.write("{}\n".format(coef))


def _write_lut_file(scalefactor: float, lut: List[complex], path: str) -> None:
    assert len(lut) == LUT_LEN

    with open(path, 'w') as f:
        f.write("{}\n{}\n".format(FORMAT_LUT, scalefactor))
        for coef in lut:
            f.write("{}\n{}\n".format(coef.real, coef.imag))

def dpddata_to_str(dpddata) -> str:
    if dpddata[0] == "poly":
        coefs_am = dpddata[1]
        coefs_pm = dpddata[2]
        return "dpd_coefs_am {}, dpd_coefs_pm {}".format(
                coefs_am, coefs_pm)
    elif dpddata[0] == "lut":
        scalefactor = dpddata[1]
        lut = dpddata[2]
        return "LUT scalefactor {}, LUT {}".format(
                scalefactor, lut)
    else:
        raise ValueError("Unknown dpddata type {}".format(dpddata[0]))

class Adapt:
    """Uses the ZMQ remote control to change parameters of the DabMod """

    def __init__(self, port: int, coef_path: str, plot_location: str):
        logging.debug("Instantiate Adapt object")
        self._port = port
        self._coef_path = coef_path
        self._plot_location = plot_location
        self._host = "localhost"
        self._mod_rc = zmqrc.ModRemoteControl(self._host, self._port)

    def set_txgain(self, gain : float) -> None:
        # TODO this is specific to the B200
        if gain < 0 or gain > 89:
            raise ValueError("Gain has to be in [0,89]")
        self._mod_rc.set_param_value("sdr", "txgain", "%.4f" % float(gain))

    def get_txgain(self) -> float:
        """Get the txgain value in dB, or -1 in case of error"""
        try:
            return float(self._mod_rc.get_param_value("sdr", "txgain"))
        except ValueError as e:
            logging.warning(f"Adapt: get_txgain error: {e}")
            return -1.0

    def set_rxgain(self, gain: float) -> None:
        # TODO this is specific to the B200
        if gain < 0 or gain > 89:
            raise ValueError("Gain has to be in [0,89]")
        self._mod_rc.set_param_value("sdr", "rxgain", "%.4f" % float(gain))

    def get_rxgain(self) -> float:
        """Get the rxgain value in dB, or -1 in case of error"""
        try:
            return float(self._mod_rc.get_param_value("sdr", "rxgain"))
        except ValueError as e:
            logging.warning(f"Adapt: get_rxgain error: {e}")
            return -1.0

    def set_digital_gain(self, gain: float) -> None:
        self._mod_rc.set_param_value("gain", "digital", "%.5f" % float(gain))

    def get_digital_gain(self) -> float:
        """Get the digital gain value in linear scale, or -1 in case
        of error"""
        try:
            return float(self._mod_rc.get_param_value("gain", "digital"))
        except ValueError as e:
            logging.warning(f"Adapt: get_digital_gain error: {e}")
            return -1.0

    def get_predistorter(self):
        """Load the coefficients from the file in the format given in the README,
        return ("poly", [AM coef], [PM coef]) or ("lut", scalefactor, [LUT entries])
        """
        with open(self._coef_path, 'r') as f:
            lines = f.readlines()
            predistorter_format = int(lines[0])
            if predistorter_format == FORMAT_POLY:
                coefs_am_out = []
                coefs_pm_out = []
                n_coefs = int(lines[1])
                coefs = [float(l) for l in lines[2:]]
                for i, c in enumerate(coefs):
                    if i < n_coefs:
                        coefs_am_out.append(c)
                    elif i < 2 * n_coefs:
                        coefs_pm_out.append(c)
                    else:
                        raise ValueError(
                            'Incorrect coef file format: too many'
                            ' coefficients in {}, should be {}, coefs are {}'
                                .format(self._coef_path, n_coefs, coefs))
                return 'poly', coefs_am_out, coefs_pm_out
            elif predistorter_format == FORMAT_LUT:
                scalefactor = int(lines[1])
                coefs = np.array([float(l) for l in lines[2:]], dtype=np.float32)
                coefs = coefs.reshape((-1, 2))
                lut = coefs[..., 0] + 1j * coefs[..., 1]
                if len(lut) != LUT_LEN:
                    raise ValueError("Incorrect number of LUT entries ({} expected {})".format(len(lut), LUT_LEN))
                return 'lut', scalefactor, lut
            else:
                raise ValueError("Unknown predistorter format {}".format(predistorter_format))

    def set_predistorter(self, dpddata) -> None:
        """Update the predistorter data in the modulator. Takes the same
        tuple format as argument than the one returned get_predistorter()"""
        if dpddata[0] == "poly":
            coefs_am = dpddata[1]
            coefs_pm = dpddata[2]
            _write_poly_coef_file(coefs_am, coefs_pm, self._coef_path)
        elif dpddata[0] == "lut":
            scalefactor = dpddata[1]
            lut = dpddata[2]
            _write_lut_file(scalefactor, lut, self._coef_path)
        else:
            raise ValueError("Unknown predistorter '{}'".format(dpddata[0]))
        self._mod_rc.set_param_value("memlesspoly", "coefffile", self._coef_path)

    def dump(self, path: str) -> None:
        """Backup current settings to a file"""

        d = {
            "txgain": self.get_txgain(),
            "rxgain": self.get_rxgain(),
            "digital_gain": self.get_digital_gain(),
            "predistorter": self.get_predistorter()
        }

        with open(path, "wb") as f:
            pickle.dump(d, f)

    def load(self, path: str) -> None:
        """Restore settings from a file"""
        with open(path, "rb") as f:
            d = pickle.load(f)

            self.set_txgain(0)
            self.set_digital_gain(d["digital_gain"])
            self.set_rxgain(d["rxgain"])
            self.set_predistorter(d["predistorter"])
            self.set_txgain(d["txgain"])

# The MIT License (MIT)
#
# Copyright (c) 2018 Matthias P. Braendli
# 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.