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authorMatthias P. Braendli <matthias.braendli@mpb.li>2018-12-04 16:45:58 +0100
committerMatthias P. Braendli <matthias.braendli@mpb.li>2018-12-04 16:45:58 +0100
commit5cf52c74e9eb6bf8a82af4509ff3eb5106f928f9 (patch)
treea7edc1dfd2b2f4469f4dc4d760fdfa83a25fa710 /python/dpd/src/Model_PM.py
parentd5cbe10c0e2298b0e40161607a3da158249bdb82 (diff)
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Rework GUI and DPDCE
Diffstat (limited to 'python/dpd/src/Model_PM.py')
-rw-r--r--python/dpd/src/Model_PM.py124
1 files changed, 0 insertions, 124 deletions
diff --git a/python/dpd/src/Model_PM.py b/python/dpd/src/Model_PM.py
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-# -*- 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, phase_diff):
- is_npfloat32(tx_dpd)
- is_npfloat32(phase_diff)
-
-
-class Model_PM:
- """Calculates new coefficients using the measurement and the previous
- coefficients"""
-
- def __init__(self,
- c,
- learning_rate_pm=1,
- plot=False):
- self.c = c
-
- self.learning_rate_pm = learning_rate_pm
- self.plot = plot
-
- def _plot(self, tx_dpd, phase_diff, coefs_pm, coefs_pm_new):
- if self.plot and self.c.plot_location is not None:
- tx_range, phase_diff_est = self.calc_line(coefs_pm, 0, 0.6)
- tx_range_new, phase_diff_est_new = self.calc_line(coefs_pm_new, 0, 0.6)
-
- dt = datetime.datetime.now().isoformat()
- fig_path = self.c.plot_location + "/" + dt + "_Model_PM.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, phase_diff_est,
- label="Estimated Phase Diff",
- alpha=0.3,
- color="gray")
- ax.plot(tx_range_new, phase_diff_est_new,
- label="New Estimated Phase Diff",
- color="red")
- ax.scatter(tx_dpd, phase_diff,
- label="Binned Data",
- color="blue",
- s=1)
- ax.set_title("Model_PM")
- ax.set_xlabel("TX Amplitude")
- ax.set_ylabel("Phase DIff")
- ax.legend(loc=4)
-
- fig.tight_layout()
- fig.savefig(fig_path)
- plt.close(fig)
-
- def _discard_small_values(self, tx_dpd, phase_diff):
- """ Assumes that the phase for small tx amplitudes is zero"""
- mask = tx_dpd < self.c.MPM_tx_min
- phase_diff[mask] = 0
- return tx_dpd, phase_diff
-
- def poly(self, sig):
- return np.array([sig ** i for i in range(0, 5)]).T
-
- def fit_poly(self, tx_abs, phase_diff):
- return np.linalg.lstsq(self.poly(tx_abs), phase_diff, rcond=None)[0]
-
- def calc_line(self, coefs, min_amp, max_amp):
- tx_range = np.linspace(min_amp, max_amp)
- phase_diff = np.sum(self.poly(tx_range) * coefs, axis=1)
- return tx_range, phase_diff
-
- def get_next_coefs(self, tx_dpd, phase_diff, coefs_pm):
- """Calculate the next AM/PM coefficients using the extracted
- statistic of TX amplitude and phase difference"""
- tx_dpd, phase_diff = self._discard_small_values(tx_dpd, phase_diff)
- check_input_get_next_coefs(tx_dpd, phase_diff)
-
- coefs_pm_new = self.fit_poly(tx_dpd, phase_diff)
-
- coefs_pm_new = coefs_pm + self.learning_rate_pm * (coefs_pm_new - coefs_pm)
- self._plot(tx_dpd, phase_diff, coefs_pm, coefs_pm_new)
-
- return coefs_pm_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.