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	Add a unit test for bayesian_estimation.cc as part of trk_test which tests that all outputs are positive over a large number of iterations
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		@@ -659,7 +659,8 @@ endif(NOT ${GTEST_DIR_LOCAL})
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add_executable(trk_test ${CMAKE_CURRENT_SOURCE_DIR}/single_test_main.cc
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					add_executable(trk_test ${CMAKE_CURRENT_SOURCE_DIR}/single_test_main.cc
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                        ${CMAKE_CURRENT_SOURCE_DIR}/unit-tests/signal-processing-blocks/tracking/galileo_e1_dll_pll_veml_tracking_test.cc
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					                        ${CMAKE_CURRENT_SOURCE_DIR}/unit-tests/signal-processing-blocks/tracking/galileo_e1_dll_pll_veml_tracking_test.cc
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                        ${CMAKE_CURRENT_SOURCE_DIR}/unit-tests/signal-processing-blocks/tracking/tracking_loop_filter_test.cc
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					                        ${CMAKE_CURRENT_SOURCE_DIR}/unit-tests/signal-processing-blocks/tracking/tracking_loop_filter_test.cc
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                        ${CMAKE_CURRENT_SOURCE_DIR}/unit-tests/signal-processing-blocks/tracking/cpu_multicorrelator_real_codes_test.cc )
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					                        ${CMAKE_CURRENT_SOURCE_DIR}/unit-tests/signal-processing-blocks/tracking/cpu_multicorrelator_real_codes_test.cc
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					                        ${CMAKE_CURRENT_SOURCE_DIR}/unit-tests/signal-processing-blocks/tracking/bayesian_estimation_test.cc )
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target_link_libraries(trk_test ${Boost_LIBRARIES}
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					target_link_libraries(trk_test ${Boost_LIBRARIES}
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                               ${GFlags_LIBS}
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					                               ${GFlags_LIBS}
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@@ -0,0 +1,80 @@
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					/*!
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					 * \file bayesian_estimation_positivity_test.cc
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					 * \brief  This file implements timing tests for the Bayesian covariance estimator
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					 * \author Gerald LaMountain, 20168. gerald(at)ece.neu.edu
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					 *
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					 *
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					 * -------------------------------------------------------------------------
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					 *
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					 * Copyright (C) 2010-2018  (see AUTHORS file for a list of contributors)
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					 *
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					 * GNSS-SDR is a software defined Global Navigation
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					 *          Satellite Systems receiver
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					 *
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					 * This file is part of GNSS-SDR.
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					 *
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					 * GNSS-SDR is free software: you can redistribute it and/or modify
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					 * it under the terms of the GNU General Public License as published by
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					 * the Free Software Foundation, either version 3 of the License, or
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					 * (at your option) any later version.
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					 *
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					 * GNSS-SDR is distributed in the hope that it will be useful,
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					 * but WITHOUT ANY WARRANTY; without even the implied warranty of
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					 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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					 * GNU General Public License for more details.
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					 *
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					 * You should have received a copy of the GNU General Public License
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					 * along with GNSS-SDR. If not, see <https://www.gnu.org/licenses/>.
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					 *
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					 * -------------------------------------------------------------------------
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					 */
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					#include <chrono>
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					#include <complex>
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					#include <random>
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					#include <thread>
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					#include <armadillo>
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					#include <gtest/gtest.h>
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					#include <gflags/gflags.h>
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					#include <gnuradio/gr_complex.h>
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					#include <volk_gnsssdr/volk_gnsssdr.h>
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					#include "bayesian_estimation.h"
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					#define BAYESIAN_TEST_N_TRIALS 100
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					#define BAYESIAN_TEST_ITER 10000
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					TEST(BayesianEstimationPositivityTest, BayesianPositivityTest)
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					{
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					    Bayesian_estimator bayes;
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					    std::chrono::time_point<std::chrono::system_clock> start, end;
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					    std::chrono::duration<double> elapsed_seconds(0);
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					    arma::vec bayes_mu = arma::zeros(1, 1);
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					    int bayes_nu = 0;
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					    int bayes_kappa = 0;
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					    arma::mat bayes_Psi = arma::ones(1, 1);
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					    arma::vec input  = arma::zeros(1, 1);
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					    arma::mat output = arma::ones(1, 1);
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					    //--- Perform initializations ------------------------------
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					    std::random_device r;
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					    std::default_random_engine e1(r());
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					    std::normal_distribution<float> normal_dist(0, 5);
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					    for (int k = 0; k < BAYESIAN_TEST_N_TRIALS; k++)
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					        {
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					            bayes.init(bayes_mu, bayes_kappa, bayes_nu, bayes_Psi);
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					            for (int n = 0; n < BAYESIAN_TEST_ITER; n++)
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					                {
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					                    input(0) = (double)(normal_dist(e1));
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					                    bayes.update_sequential(input);
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					                    output = bayes.get_Psi_est();
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					                    ASSERT_EQ(output(0) > 0, true);
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					                }
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					        }
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					}
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