/*!
* \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);
}
}
}