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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/dpd/src/Model_AM.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/dpd/src/Model_AM.py')
-rw-r--r-- | python/dpd/src/Model_AM.py | 122 |
1 files changed, 122 insertions, 0 deletions
diff --git a/python/dpd/src/Model_AM.py b/python/dpd/src/Model_AM.py new file mode 100644 index 0000000..75b226f --- /dev/null +++ b/python/dpd/src/Model_AM.py @@ -0,0 +1,122 @@ +# -*- coding: utf-8 -*- +# +# DPD Computation Engine, model implementation for Amplitude and not Phase +# +# http://www.opendigitalradio.org +# Licence: The MIT License, see notice at the end of this file + +import datetime +import os +import logging +import numpy as np +import matplotlib.pyplot as plt + + +def is_npfloat32(array): + assert isinstance(array, np.ndarray), type(array) + assert array.dtype == np.float32, array.dtype + assert array.flags.contiguous + assert not any(np.isnan(array)) + + +def check_input_get_next_coefs(tx_dpd, rx_received): + is_npfloat32(tx_dpd) + is_npfloat32(rx_received) + + +def poly(sig): + return np.array([sig ** i for i in range(1, 6)]).T + + +def fit_poly(tx_abs, rx_abs): + return np.linalg.lstsq(poly(rx_abs), tx_abs, rcond=None)[0] + + +def calc_line(coefs, min_amp, max_amp): + rx_range = np.linspace(min_amp, max_amp) + tx_est = np.sum(poly(rx_range) * coefs, axis=1) + return tx_est, rx_range + + +class Model_AM: + """Calculates new coefficients using the measurement and the previous + coefficients""" + + def __init__(self, + c, + learning_rate_am=1, + plot=False): + self.c = c + + self.learning_rate_am = learning_rate_am + self.plot = plot + + def _plot(self, tx_dpd, rx_received, coefs_am, coefs_am_new): + if self.plot and self.c.plot_location is not None: + tx_range, rx_est = calc_line(coefs_am, 0, 0.6) + tx_range_new, rx_est_new = calc_line(coefs_am_new, 0, 0.6) + + dt = datetime.datetime.now().isoformat() + fig_path = self.c.plot_location + "/" + dt + "_Model_AM.png" + sub_rows = 1 + sub_cols = 1 + fig = plt.figure(figsize=(sub_cols * 6, sub_rows / 2. * 6)) + i_sub = 0 + + i_sub += 1 + ax = plt.subplot(sub_rows, sub_cols, i_sub) + ax.plot(tx_range, rx_est, + label="Estimated TX", + alpha=0.3, + color="gray") + ax.plot(tx_range_new, rx_est_new, + label="New Estimated TX", + color="red") + ax.scatter(tx_dpd, rx_received, + label="Binned Data", + color="blue", + s=1) + ax.set_title("Model_AM") + ax.set_xlabel("TX Amplitude") + ax.set_ylabel("RX Amplitude") + ax.set_xlim(-0.5, 1.5) + ax.legend(loc=4) + + fig.tight_layout() + fig.savefig(fig_path) + plt.close(fig) + + def get_next_coefs(self, tx_dpd, rx_received, coefs_am): + """Calculate the next AM/AM coefficients using the extracted + statistic of TX and RX amplitude""" + check_input_get_next_coefs(tx_dpd, rx_received) + + coefs_am_new = fit_poly(tx_dpd, rx_received) + coefs_am_new = coefs_am + \ + self.learning_rate_am * (coefs_am_new - coefs_am) + + self._plot(tx_dpd, rx_received, coefs_am, coefs_am_new) + + return coefs_am_new + +# 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. |