From 0718c0390d9f05ef21ec202be2ce7ea6e2a6a31d Mon Sep 17 00:00:00 2001 From: andreas128 Date: Thu, 14 Sep 2017 11:21:10 +0200 Subject: Add Model_PM --- dpd/src/ExtractStatistic.py | 5 ++ dpd/src/Model_AM.py | 2 +- dpd/src/Model_PM.py | 118 ++++++++++++++++++++++++++++++++++++++++++++ dpd/src/const.py | 2 +- 4 files changed, 125 insertions(+), 2 deletions(-) create mode 100644 dpd/src/Model_PM.py (limited to 'dpd/src') diff --git a/dpd/src/ExtractStatistic.py b/dpd/src/ExtractStatistic.py index 6139e1d..897ec0a 100644 --- a/dpd/src/ExtractStatistic.py +++ b/dpd/src/ExtractStatistic.py @@ -169,8 +169,13 @@ class ExtractStatistic: n_per_bin = [len(values) for values in self.rx_values_lists] + # TODO cleanup + phase_diffs_values_lists = self._phase_diff_list_per_bin() + phase_diffs_values = self._phase_diff_value_per_bin(phase_diffs_values_lists) + return np.array(self.tx_values, dtype=np.float32), \ np.array(self.rx_values, dtype=np.float32), \ + np.array(phase_diffs_values, dtype=np.float32), \ n_per_bin # The MIT License (MIT) diff --git a/dpd/src/Model_AM.py b/dpd/src/Model_AM.py index bdf55c6..5c307ef 100644 --- a/dpd/src/Model_AM.py +++ b/dpd/src/Model_AM.py @@ -22,7 +22,7 @@ def check_input_get_next_coefs(tx_dpd, rx_received): x.flags.contiguous) assert is_float32(tx_dpd), \ "tx_dpd is not float32 but {}".format(tx_dpd[0].dtype) - assert is_float32(tx_dpd), \ + assert is_float32(rx_received), \ "rx_received is not float32 but {}".format(tx_dpd[0].dtype) diff --git a/dpd/src/Model_PM.py b/dpd/src/Model_PM.py new file mode 100644 index 0000000..6639382 --- /dev/null +++ b/dpd/src/Model_PM.py @@ -0,0 +1,118 @@ +# -*- coding: utf-8 -*- +# +# DPD Calculation 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 + +logging_path = os.path.dirname(logging.getLoggerClass().root.handlers[0].baseFilename) + +import numpy as np +import matplotlib.pyplot as plt +from sklearn import linear_model + + +def check_input_get_next_coefs(tx_dpd, phase_diff): + is_float32 = lambda x: (isinstance(x, np.ndarray) and + x.dtype == np.float32 and + x.flags.contiguous) + assert is_float32(tx_dpd), \ + "tx_dpd is not float32 but {}".format(tx_dpd[0].dtype) + assert is_float32(phase_diff), \ + "phase_diff is not float32 but {}".format(tx_dpd[0].dtype) + assert tx_dpd.shape == phase_diff.shape, \ + "tx_dpd.shape {}, phase_diff.shape {}".format( + tx_dpd.shape, phase_diff.shape) + + +class Model_PM: + """Calculates new coefficients using the measurement and the previous + coefficients""" + + def __init__(self, + c, + learning_rate_pm=0.1, + 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 logging.getLogger().getEffectiveLevel() == logging.DEBUG and self.plot: + 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 = logging_path + "/" + dt + "_Model_PM.svg" + 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=0.1) + 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 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)[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): + check_input_get_next_coefs(tx_dpd, phase_diff) + + coefs_pm_new = self.fit_poly(tx_dpd, phase_diff) + 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. diff --git a/dpd/src/const.py b/dpd/src/const.py index 6cf1537..75ff819 100644 --- a/dpd/src/const.py +++ b/dpd/src/const.py @@ -41,4 +41,4 @@ class const: self.ES_start = 0.0 self.ES_end = 1.0 self.ES_n_bins = 64 - self.ES_n_per_bin = 1024 + self.ES_n_per_bin = 256 -- cgit v1.2.3