/*! * \file bayesian_estimation_positivity_test.cc * \brief This file implements timing tests for the Bayesian covariance estimator * \author Gerald LaMountain, 20168. gerald(at)ece.neu.edu * * * ------------------------------------------------------------------------- * * Copyright (C) 2010-2018 (see AUTHORS file for a list of contributors) * * GNSS-SDR is a software defined Global Navigation * Satellite Systems receiver * * This file is part of GNSS-SDR. * * GNSS-SDR 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. * * GNSS-SDR 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 GNSS-SDR. If not, see . * * ------------------------------------------------------------------------- */ #include #include #include #include #include #include #include #include #include #include "bayesian_estimation.h" #define BAYESIAN_TEST_N_TRIALS 100 #define BAYESIAN_TEST_ITER 10000 TEST(BayesianEstimationPositivityTest, BayesianPositivityTest) { Bayesian_estimator bayes; std::chrono::time_point start, end; std::chrono::duration elapsed_seconds(0); arma::vec bayes_mu = arma::zeros(1, 1); int bayes_nu = 0; int bayes_kappa = 0; arma::mat bayes_Psi = arma::ones(1, 1); arma::vec input = arma::zeros(1, 1); arma::mat output = arma::ones(1, 1); //--- Perform initializations ------------------------------ std::random_device r; std::default_random_engine e1(r()); std::normal_distribution normal_dist(0, 5); for (int k = 0; k < BAYESIAN_TEST_N_TRIALS; k++) { bayes.init(bayes_mu, bayes_kappa, bayes_nu, bayes_Psi); for (int n = 0; n < BAYESIAN_TEST_ITER; n++) { input(0) = (double)(normal_dist(e1)); bayes.update_sequential(input); output = bayes.get_Psi_est(); ASSERT_EQ(output(0) > 0, true); } } }