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author | Matthias P. Braendli <matthias.braendli@mpb.li> | 2018-12-04 10:18:33 +0100 |
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committer | Matthias P. Braendli <matthias.braendli@mpb.li> | 2018-12-04 10:18:33 +0100 |
commit | d5cbe10c0e2298b0e40161607a3da158249bdb82 (patch) | |
tree | 5f6a0ff40ce5b3dd39d0df1c348557b183b48a7e /python/gui/dpd/__init__.py | |
parent | 594cb2691debaa7562fd7d76d3b224701ec087ea (diff) | |
download | dabmod-d5cbe10c0e2298b0e40161607a3da158249bdb82.tar.gz dabmod-d5cbe10c0e2298b0e40161607a3da158249bdb82.tar.bz2 dabmod-d5cbe10c0e2298b0e40161607a3da158249bdb82.zip |
Move python stuff to folder
Diffstat (limited to 'python/gui/dpd/__init__.py')
-rw-r--r-- | python/gui/dpd/__init__.py | 93 |
1 files changed, 93 insertions, 0 deletions
diff --git a/python/gui/dpd/__init__.py b/python/gui/dpd/__init__.py new file mode 100644 index 0000000..9009436 --- /dev/null +++ b/python/gui/dpd/__init__.py @@ -0,0 +1,93 @@ +# -*- coding: utf-8 -*- +# +# DPD Computation Engine module +# +# Copyright (c) 2017 Andreas Steger +# Copyright (c) 2018 Matthias P. Braendli +# +# http://www.opendigitalradio.org +# +# This file is part of ODR-DabMod. +# +# ODR-DabMod is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as +# published by the Free Software Foundation, either version 3 of the +# License, or (at your option) any later version. +# +# ODR-DabMod is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with ODR-DabMod. If not, see <http://www.gnu.org/licenses/>. + +from . import Capture +import numpy as np + +class DPD: + def __init__(self, plot_dir, samplerate=8192000): + self.samplerate = samplerate + + oversample = int(self.samplerate / 2048000) + self.T_F = oversample * 196608 # Transmission frame duration + self.T_NULL = oversample * 2656 # Null symbol duration + self.T_S = oversample * 2552 # Duration of OFDM symbols of indices l = 1, 2, 3,... L; + self.T_U = oversample * 2048 # Inverse of carrier spacing + self.T_C = oversample * 504 # Duration of cyclic prefix + + self.last_capture_info = {} + + port = 50055 + samples_to_capture = 81920 + self.capture = Capture.Capture(self.samplerate, port, samples_to_capture, plot_dir) + + def status(self): + r = {} + r['histogram'] = self.capture.bin_histogram() + r['capture'] = self.last_capture_info + return r + + def pointcloud_png(self): + return self.capture.pointcloud_png() + + def clear_accumulated(self): + return self.capture.clear_accumulated() + + def capture_calibration(self): + tx_ts, tx_median, rx_ts, rx_median, coarse_offset, correlation_coefficient = self.capture.calibrate() + result = {'status': "ok"} + result['tx_median'] = "{:.2f}dB".format(20*np.log10(tx_median)) + result['rx_median'] = "{:.2f}dB".format(20*np.log10(rx_median)) + result['tx_ts'] = tx_ts + result['rx_ts'] = rx_ts + result['coarse_offset'] = int(coarse_offset) + result['correlation'] = float(correlation_coefficient) + return result + + def capture_samples(self): + """Captures samples and store them in the accumulated samples, + returns a dict with some info""" + result = {} + try: + txframe_aligned, tx_ts, tx_median, rxframe_aligned, rx_ts, rx_median = self.capture.get_samples() + result['status'] = "ok" + result['length'] = len(txframe_aligned) + result['tx_median'] = float(tx_median) + result['rx_median'] = float(rx_median) + result['tx_ts'] = tx_ts + result['rx_ts'] = rx_ts + except ValueError as e: + result['status'] = "Capture failed: {}".format(e) + + self.last_capture_info = result + + # tx, rx, phase_diff, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned) + # off = SA.calc_offset(txframe_aligned) + # print("off {}".format(off)) + # tx_mer = MER.calc_mer(txframe_aligned[off:off + c.T_U], debug_name='TX') + # print("tx_mer {}".format(tx_mer)) + # rx_mer = MER.calc_mer(rxframe_aligned[off:off + c.T_U], debug_name='RX') + # print("rx_mer {}".format(rx_mer)) + # mse = np.mean(np.abs((txframe_aligned - rxframe_aligned) ** 2)) + # print("mse {}".format(mse)) |