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authorMatthias P. Braendli <matthias.braendli@mpb.li>2018-12-04 10:18:33 +0100
committerMatthias P. Braendli <matthias.braendli@mpb.li>2018-12-04 10:18:33 +0100
commitd5cbe10c0e2298b0e40161607a3da158249bdb82 (patch)
tree5f6a0ff40ce5b3dd39d0df1c348557b183b48a7e /python/gui/dpd/__init__.py
parent594cb2691debaa7562fd7d76d3b224701ec087ea (diff)
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Move python stuff to folder
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diff --git a/python/gui/dpd/__init__.py b/python/gui/dpd/__init__.py
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+# -*- 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))