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Changing some raw pointers by smart pointers. Commenting out some custom 

code
This commit is contained in:
Carles Fernandez 2014-09-04 19:35:55 +02:00
parent bcd90ca9cf
commit a57c5ccf8a
5 changed files with 218 additions and 226 deletions
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429
src/algorithms/PVT/gnuradio_blocks/hybrid_pvt_cc.cc
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@ -61,7 +61,7 @@ hybrid_make_pvt_cc(unsigned int nchannels, boost::shared_ptr<gr::msg_queue> queu
hybrid_pvt_cc::hybrid_pvt_cc(unsigned int nchannels, boost::shared_ptr<gr::msg_queue> queue, bool dump, std::string dump_filename, int averaging_depth, bool flag_averaging, int output_rate_ms, int display_rate_ms, bool flag_nmea_tty_port, std::string nmea_dump_filename, std::string nmea_dump_devname) :
gr::block("hybrid_pvt_cc", gr::io_signature::make(nchannels, nchannels, sizeof(Gnss_Synchro)),
gr::block("hybrid_pvt_cc", gr::io_signature::make(nchannels, nchannels, sizeof(Gnss_Synchro)),
gr::io_signature::make(1, 1, sizeof(gr_complex)))
{
@ -77,17 +77,18 @@ hybrid_pvt_cc::hybrid_pvt_cc(unsigned int nchannels, boost::shared_ptr<gr::msg_q
std::string kml_dump_filename;
kml_dump_filename = d_dump_filename;
kml_dump_filename.append(".kml");
d_kml_dump.set_headers(kml_dump_filename);
d_kml_dump = std::make_shared<Kml_Printer>();
d_kml_dump->set_headers(kml_dump_filename);
//initialize nmea_printer
d_nmea_printer = new Nmea_Printer(nmea_dump_filename, flag_nmea_tty_port, nmea_dump_devname);
d_nmea_printer = std::make_shared<Nmea_Printer>(nmea_dump_filename, flag_nmea_tty_port, nmea_dump_devname);
d_dump_filename.append("_raw.dat");
dump_ls_pvt_filename.append("_ls_pvt.dat");
d_averaging_depth = averaging_depth;
d_flag_averaging = flag_averaging;
d_ls_pvt = new hybrid_ls_pvt(nchannels, dump_ls_pvt_filename, d_dump);
d_ls_pvt = std::make_shared<hybrid_ls_pvt>((int)nchannels, dump_ls_pvt_filename, d_dump);
d_ls_pvt->set_averaging_depth(d_averaging_depth);
d_sample_counter = 0;
@ -96,7 +97,7 @@ hybrid_pvt_cc::hybrid_pvt_cc(unsigned int nchannels, boost::shared_ptr<gr::msg_q
d_rx_time = 0.0;
d_TOW_at_curr_symbol_constellation = 0.0;
b_rinex_header_writen = false;
rp = new Rinex_Printer();
rp = std::make_shared<Rinex_Printer>();
// ############# ENABLE DATA FILE LOG #################
if (d_dump == true)
@ -120,12 +121,7 @@ hybrid_pvt_cc::hybrid_pvt_cc(unsigned int nchannels, boost::shared_ptr<gr::msg_q
hybrid_pvt_cc::~hybrid_pvt_cc()
{
d_kml_dump.close_file();
delete d_ls_pvt;
delete rp;
delete d_nmea_printer;
}
{}
@ -151,7 +147,7 @@ int hybrid_pvt_cc::general_work (int noutput_items, gr_vector_int &ninput_items,
{
gnss_pseudoranges_map.insert(std::pair<int,Gnss_Synchro>(in[i][0].PRN, in[i][0])); // store valid pseudoranges in a map
//d_rx_time = in[i][0].d_TOW_at_current_symbol; // all the channels have the same RX timestamp (common RX time pseudoranges)
d_TOW_at_curr_symbol_constellation=in[i][0].d_TOW_at_current_symbol; // d_TOW_at_current_symbol not corrected by delta t (just for debug)
d_TOW_at_curr_symbol_constellation = in[i][0].d_TOW_at_current_symbol; // d_TOW_at_current_symbol not corrected by delta t (just for debug)
d_rx_time = in[i][0].d_TOW_hybrid_at_current_symbol; // hybrid rx time, all the channels have the same RX timestamp (common RX time pseudoranges)
//std::cout<<"CH PVT = "<< i << ", d_TOW = " << d_TOW_at_curr_symbol_constellation<<", rx_time_hybrid_PVT = " << d_rx_time << " same RX timestamp (common RX time pseudoranges)"<< std::endl;
@ -202,7 +198,7 @@ int hybrid_pvt_cc::general_work (int noutput_items, gr_vector_int &ninput_items,
//if (gnss_pseudoranges_map.size() > 0 and d_ls_pvt->galileo_ephemeris_map.size() > 0 and d_ls_pvt->gps_ephemeris_map.size() > 0)
if (gnss_pseudoranges_map.size() > 0)
{
//std::cout << "Both GPS and Galileo ephemeris map have been filled " << std::endl;
//std::cout << "Both GPS and Galileo ephemeris map have been filled " << std::endl;
// compute on the fly PVT solution
if ((d_sample_counter % d_output_rate_ms) == 0)
{
@ -212,258 +208,258 @@ int hybrid_pvt_cc::general_work (int noutput_items, gr_vector_int &ninput_items,
if (d_ls_pvt->b_valid_position == true)
{
valid_solution_counter ++;
valid_solution_counter ++;
d_kml_dump.print_position_hybrid(d_ls_pvt, d_flag_averaging);
d_kml_dump->print_position_hybrid(d_ls_pvt, d_flag_averaging);
/* *********************************** COMPUTE STATISTICS OVER THE FIRST 1000 SOLUTOINS **********************************/
if (valid_solution_counter<=1000)
//if (d_ls_pvt->d_valid_observations >= 14)
//if (d_ls_pvt->d_valid_GPS_obs >= 7 or d_ls_pvt->d_valid_GAL_obs >=7)
{
GDOP_vect.push_back (d_ls_pvt->d_GDOP);
//PDOP_vect.push_back (d_ls_pvt->d_PDOP);
/* *********************************** COMPUTE STATISTICS OVER THE FIRST 1000 SOLUTOINS **********************************/
if (valid_solution_counter<=1000)
//if (d_ls_pvt->d_valid_observations >= 14)
//if (d_ls_pvt->d_valid_GPS_obs >= 7 or d_ls_pvt->d_valid_GAL_obs >=7)
{
GDOP_vect.push_back (d_ls_pvt->d_GDOP);
//PDOP_vect.push_back (d_ls_pvt->d_PDOP);
X_vect.push_back (d_ls_pvt->X); // add the last X value to X_vect
Y_vect.push_back (d_ls_pvt->Y); // add the last X value to X_vect
Z_vect.push_back (d_ls_pvt->Z);
X_vect.push_back (d_ls_pvt->X); // add the last X value to X_vect
Y_vect.push_back (d_ls_pvt->Y); // add the last X value to X_vect
Z_vect.push_back (d_ls_pvt->Z);
longitude_vect.push_back (d_ls_pvt->d_longitude_d);
latitude_vect.push_back (d_ls_pvt->d_latitude_d);
h_vect.push_back (d_ls_pvt->d_height_m);
longitude_vect.push_back (d_ls_pvt->d_longitude_d);
latitude_vect.push_back (d_ls_pvt->d_latitude_d);
h_vect.push_back (d_ls_pvt->d_height_m);
tot_obs_vect.push_back (d_ls_pvt->d_valid_observations);
Gal_obs_vect.push_back (d_ls_pvt->d_valid_GAL_obs);
GPS_obs_vect.push_back (d_ls_pvt->d_valid_GPS_obs);
tot_obs_vect.push_back (d_ls_pvt->d_valid_observations);
Gal_obs_vect.push_back (d_ls_pvt->d_valid_GAL_obs);
GPS_obs_vect.push_back (d_ls_pvt->d_valid_GPS_obs);
time_vect.push_back (d_ls_pvt->d_position_UTC_time);
//valid_solution_16_sat_counter ++;
}
time_vect.push_back (d_ls_pvt->d_position_UTC_time);
//valid_solution_16_sat_counter ++;
}
//if(valid_solution_16_sat_counter ==1000)
//if(valid_solution_16_sat_counter ==1000)
if (valid_solution_counter==1000)
{
//compute ECEF average and standard deviation over the first 1000 solutions
GDOP_sum=std::accumulate( GDOP_vect.begin(), GDOP_vect.end(), 0.0);
GDOP_mean = GDOP_sum / GDOP_vect.size();
/* if (valid_solution_counter==1000)
{
//compute ECEF average and standard deviation over the first 1000 solutions
GDOP_sum = std::accumulate( GDOP_vect.begin(), GDOP_vect.end(), 0.0);
GDOP_mean = GDOP_sum / GDOP_vect.size();
longitude_vect_sum = std::accumulate( longitude_vect.begin(), longitude_vect.end(), 0.0);
longitude_mean = longitude_vect_sum / longitude_vect.size();
longitude_vect_sum = std::accumulate( longitude_vect.begin(), longitude_vect.end(), 0.0);
longitude_mean = longitude_vect_sum / longitude_vect.size();
//IFEN true solutions
double ref_longitude= 11.80800563;
double ref_latitude= 48.17149767;
//IFEN true solutions
double ref_longitude = 11.80800563;
double ref_latitude = 48.17149767;
double ref_X=4171691.011;
double ref_Y=872120.003;
double ref_Z=4730005.761;
double ref_X = 4171691.011;
double ref_Y = 872120.003;
double ref_Z = 4730005.761;
// //REAL CAPTURE reference solutions (obtained with 4 Galileo)
// double ref_longitude= 1.987686994;
// double ref_latitude= 41.274786935;
// double ref_X=4797680.560;
// double ref_Y= 166506.414;
// double ref_Z=4185453.947;
// REAL CAPTURE reference solutions (obtained with 4 Galileo)
// double ref_longitude= 1.987686994;
// double ref_latitude= 41.274786935;
// double ref_X=4797680.560;
// double ref_Y= 166506.414;
// double ref_Z=4185453.947;
//compute mean value for precision
latitude_vect_sum = std::accumulate( latitude_vect.begin(), latitude_vect.end(), 0.0);
latitude_mean = latitude_vect_sum / latitude_vect.size();
//compute mean value for precision
latitude_vect_sum = std::accumulate( latitude_vect.begin(), latitude_vect.end(), 0.0);
latitude_mean = latitude_vect_sum / latitude_vect.size();
X_vect_sum = std::accumulate(X_vect.begin(), X_vect.end(), 0.0);
X_vect_mean = X_vect_sum / X_vect.size();
X_vect_sum = std::accumulate(X_vect.begin(), X_vect.end(), 0.0);
X_vect_mean = X_vect_sum / X_vect.size();
X_vect_sq_sum = std::inner_product(X_vect.begin(), X_vect.end(), X_vect.begin(), 0.0);
X_vect_stdev = std::sqrt(X_vect_sq_sum / X_vect.size() - X_vect_mean * X_vect_mean);
X_vect_sq_sum = std::inner_product(X_vect.begin(), X_vect.end(), X_vect.begin(), 0.0);
X_vect_stdev = std::sqrt(X_vect_sq_sum / X_vect.size() - X_vect_mean * X_vect_mean);
Y_vect_sum = std::accumulate(Y_vect.begin(), Y_vect.end(), 0.0);
Y_vect_mean = Y_vect_sum / Y_vect.size();
Y_vect_sum = std::accumulate(Y_vect.begin(), Y_vect.end(), 0.0);
Y_vect_mean = Y_vect_sum / Y_vect.size();
Y_vect_sq_sum = std::inner_product(Y_vect.begin(), Y_vect.end(), Y_vect.begin(), 0.0);
Y_vect_stdev = std::sqrt(Y_vect_sq_sum / Y_vect.size() - Y_vect_mean * Y_vect_mean);
Y_vect_sq_sum = std::inner_product(Y_vect.begin(), Y_vect.end(), Y_vect.begin(), 0.0);
Y_vect_stdev = std::sqrt(Y_vect_sq_sum / Y_vect.size() - Y_vect_mean * Y_vect_mean);
Z_vect_sum = std::accumulate(Z_vect.begin(), Z_vect.end(), 0.0);
Z_vect_mean = Z_vect_sum / Z_vect.size();
Z_vect_sum = std::accumulate(Z_vect.begin(), Z_vect.end(), 0.0);
Z_vect_mean = Z_vect_sum / Z_vect.size();
Z_vect_sq_sum = std::inner_product(Z_vect.begin(), Z_vect.end(), Z_vect.begin(), 0.0);
Z_vect_stdev = std::sqrt(Z_vect_sq_sum / Z_vect.size() - Z_vect_mean * Z_vect_mean);
Z_vect_sq_sum = std::inner_product(Z_vect.begin(), Z_vect.end(), Z_vect.begin(), 0.0);
Z_vect_stdev = std::sqrt(Z_vect_sq_sum / Z_vect.size() - Z_vect_mean * Z_vect_mean);
std::fstream file_solutions;
std::ofstream file_statitics;
std::fstream file_solutions;
std::ofstream file_statitics;
//std::fstream file_RES_X;
file_solutions.open ("GNSS_SDR_solutions.txt", std::fstream::out);
//file_statitics.open ("GNSS_SDR_statitics.txt", std::ofstream::out | std::ofstream::app);
file_statitics.open ("GNSS_SDR_statitics.txt", std::ofstream::out);
//std::fstream file_RES_X;
file_solutions.open ("GNSS_SDR_solutions.txt", std::fstream::out);
//file_statitics.open ("GNSS_SDR_statitics.txt", std::ofstream::out | std::ofstream::app);
file_statitics.open ("GNSS_SDR_statitics.txt", std::ofstream::out);
file_solutions.setf(file_solutions.fixed, file_solutions.floatfield);
file_statitics.setf(file_statitics.fixed, file_statitics.floatfield);
file_solutions.setf(file_solutions.fixed, file_solutions.floatfield);
file_statitics.setf(file_statitics.fixed, file_statitics.floatfield);
file_statitics << std::setprecision(9);
file_statitics << std::setprecision(9);
file_solutions << std::setw(13)<< "time" << std::setw(26)<<"X [m]" << std::setw(20)<< "Y [m]"<< std::setw(20)<< "Z [m]" << // X Y Z solutions
std::setw(20)<<"Long [deg]" << std::setw(15)<< "Lat [deg]"<< std::setw(15)<< "h [m]"<< // long, lat, h solutions
std::setw(18)<<"E(Acc) [m]" << std::setw(18)<< "N(Acc) [m]"<<std::setw(18)<<"Up(Acc) [m]"<< //ENU residual for accuracy columns 7:8:9
std::setw(18)<<"E(Pre) [m]" << std::setw(18)<< "N(Pre) [m]"<<std::setw(18)<<"Up(Pre) [m]"<< //ENU residual for precision columns 10:11:12
std::setw(18)<<"Tot Sat" << std::setw(18)<< "Gal"<<std::setw(18)<<"GPS"<< //number of satellites
std::setw(18)<<"GDOP" <<std::endl; //GDOP
file_solutions << std::setw(13) << "time" << std::setw(26) <<"X [m]" << std::setw(20)<< "Y [m]"<< std::setw(20)<< "Z [m]" << // X Y Z solutions
std::setw(20) << "Long [deg]" << std::setw(15) << "Lat [deg]" << std::setw(15) << "h [m]" << // long, lat, h solutions
std::setw(18) << "E(Acc) [m]" << std::setw(18) << "N(Acc) [m]" << std::setw(18) <<"Up(Acc) [m]" << //ENU residual for accuracy columns 7:8:9
std::setw(18) << "E(Pre) [m]" << std::setw(18) << "N(Pre) [m]" << std::setw(18) <<"Up(Pre) [m]" << //ENU residual for precision columns 10:11:12
std::setw(18) << "Tot Sat" << std::setw(18) << "Gal"<< std::setw(18) << "GPS" << //number of satellites
std::setw(18) << "GDOP" << std::endl; //GDOP
std::cout << "X mean over 1000 solutions [m]= " << X_vect_mean << ", X dev st over 1000 solutins= " << X_vect_stdev << std::endl;
std::cout << "Y mean over 1000 solutions [m]= " << Y_vect_mean << ", Y dev st over 1000 solutins= " << Y_vect_stdev << std::endl;
std::cout << "Z mean over 1000 solutions [m]= " << Z_vect_mean << ", Z dev st over 1000 solutins= " << Z_vect_stdev << std::endl;
std::cout << "X mean over 1000 solutions [m]= " << X_vect_mean << ", X dev st over 1000 solutins= " << X_vect_stdev << std::endl;
std::cout << "Y mean over 1000 solutions [m]= " << Y_vect_mean << ", Y dev st over 1000 solutins= " << Y_vect_stdev << std::endl;
std::cout << "Z mean over 1000 solutions [m]= " << Z_vect_mean << ", Z dev st over 1000 solutins= " << Z_vect_stdev << std::endl;
//file_statitics << "X mean over 1000 solutions [m]= " << X_vect_mean << ", X dev st over 1000 solutins= " << X_vect_stdev << std::endl;
//file_statitics << "Y mean over 1000 solutions [m]= " << Y_vect_mean << ", Y dev st over 1000 solutins= " << Y_vect_stdev << std::endl;
//file_statitics << "Z mean over 1000 solutions [m]= " << Z_vect_mean << ", Z dev st over 1000 solutins= " << Z_vect_stdev << std::endl << std::endl;
//file_statitics << "X mean over 1000 solutions [m]= " << X_vect_mean << ", X dev st over 1000 solutins= " << X_vect_stdev << std::endl;
//file_statitics << "Y mean over 1000 solutions [m]= " << Y_vect_mean << ", Y dev st over 1000 solutins= " << Y_vect_stdev << std::endl;
//file_statitics << "Z mean over 1000 solutions [m]= " << Z_vect_mean << ", Z dev st over 1000 solutins= " << Z_vect_stdev << std::endl << std::endl;
file_statitics << "Num of GPS observation " << d_ls_pvt->d_valid_GPS_obs << std::endl;
file_statitics << "Num of GALILEO observation " << d_ls_pvt->d_valid_GAL_obs << std::endl;
file_statitics << "Num of GPS observation " << d_ls_pvt->d_valid_GPS_obs << std::endl;
file_statitics << "Num of GALILEO observation " << d_ls_pvt->d_valid_GAL_obs << std::endl;
file_statitics << "GDOP mean= " << GDOP_mean << std::endl << std::endl;
file_statitics << "GDOP mean= " << GDOP_mean << std::endl << std::endl;
file_statitics << "ENU computed at (IFEN true coordinates): ref Longitude = " << ref_longitude << ", Ref Latitude = " << ref_latitude << " for Accuracy"<<std::endl;
file_statitics << "ENU computed at (average coordinates) mean Longitude = " << longitude_mean << ", mean Latitude = " << latitude_mean << " for Precision"<<std::endl;
file_statitics << "ENU computed at (IFEN true coordinates): ref Longitude = " << ref_longitude << ", Ref Latitude = " << ref_latitude << " for Accuracy"<<std::endl;
file_statitics << "ENU computed at (average coordinates) mean Longitude = " << longitude_mean << ", mean Latitude = " << latitude_mean << " for Precision"<<std::endl;
//file_statitics << "Residual computed with respect (IFEN true coordinates) X Y Z= " << ref_X << '\t'<< ref_Y << '\t'<< ref_Z << std::endl;
//file_statitics << "Residual computed with respect (IFEN true coordinates) X Y Z= " << ref_X << '\t'<< ref_Y << '\t'<< ref_Z << std::endl;
// 1- Rotation matrix from ECEF coordinates to ENU coordinates
// ref: http://www.navipedia.net/index.php/Transformations_between_ECEF_and_ENU_coordinates
arma::mat R = arma::zeros(3,3);//matrix with REFERENCE position
arma::mat M = arma::zeros(3,3);//matrix with MEAN position
// 1- Rotation matrix from ECEF coordinates to ENU coordinates
// ref: http://www.navipedia.net/index.php/Transformations_between_ECEF_and_ENU_coordinates
arma::mat R = arma::zeros(3,3);//matrix with REFERENCE position
arma::mat M = arma::zeros(3,3);//matrix with MEAN position
//matrix with MEAN position
M(0,0) = -sin(GPS_TWO_PI*(longitude_mean/360.0));
M(0,1) = -sin(GPS_TWO_PI*(latitude_mean/360.0))*cos(GPS_TWO_PI*(longitude_mean/360.0));
M(0,2) = cos(GPS_TWO_PI*(latitude_mean/360.0))*cos(GPS_TWO_PI*(longitude_mean/360.0));
//matrix with MEAN position
M(0,0) = -sin(GPS_TWO_PI*(longitude_mean/360.0));
M(0,1) = -sin(GPS_TWO_PI*(latitude_mean/360.0))*cos(GPS_TWO_PI*(longitude_mean/360.0));
M(0,2) = cos(GPS_TWO_PI*(latitude_mean/360.0))*cos(GPS_TWO_PI*(longitude_mean/360.0));
M(1,0) = cos((GPS_TWO_PI*longitude_mean)/360.0);
M(1,1) = -sin((GPS_TWO_PI*latitude_mean)/360.0)*sin((GPS_TWO_PI*longitude_mean)/360.0);
M(1,2) = cos((GPS_TWO_PI*latitude_mean/360.0))*sin((GPS_TWO_PI*longitude_mean)/360.0);
M(1,0) = cos((GPS_TWO_PI*longitude_mean)/360.0);
M(1,1) = -sin((GPS_TWO_PI*latitude_mean)/360.0)*sin((GPS_TWO_PI*longitude_mean)/360.0);
M(1,2) = cos((GPS_TWO_PI*latitude_mean/360.0))*sin((GPS_TWO_PI*longitude_mean)/360.0);
M(2,0) = 0;
M(2,1) = cos((GPS_TWO_PI*latitude_mean)/360.0);
M(2,2) = sin((GPS_TWO_PI*latitude_mean/360.0));
M(2,0) = 0;
M(2,1) = cos((GPS_TWO_PI*latitude_mean)/360.0);
M(2,2) = sin((GPS_TWO_PI*latitude_mean/360.0));
//matrix with REFERENCE position
R(0,0) = -sin(GPS_TWO_PI*(ref_longitude/360.0));
R(0,1) = -sin(GPS_TWO_PI*(ref_latitude/360.0))*cos(GPS_TWO_PI*(ref_longitude/360.0));
R(0,2) = cos(GPS_TWO_PI*(ref_latitude/360.0))*cos(GPS_TWO_PI*(ref_longitude/360.0));
//matrix with REFERENCE position
R(0,0) = -sin(GPS_TWO_PI*(ref_longitude/360.0));
R(0,1) = -sin(GPS_TWO_PI*(ref_latitude/360.0))*cos(GPS_TWO_PI*(ref_longitude/360.0));
R(0,2) = cos(GPS_TWO_PI*(ref_latitude/360.0))*cos(GPS_TWO_PI*(ref_longitude/360.0));
R(1,0) = cos((GPS_TWO_PI*ref_longitude)/360.0);
R(1,1) = -sin((GPS_TWO_PI*ref_latitude)/360.0)*sin((GPS_TWO_PI*ref_longitude)/360.0);
R(1,2) = cos((GPS_TWO_PI*ref_latitude/360.0))*sin((GPS_TWO_PI*ref_longitude)/360.0);
R(1,0) = cos((GPS_TWO_PI*ref_longitude)/360.0);
R(1,1) = -sin((GPS_TWO_PI*ref_latitude)/360.0)*sin((GPS_TWO_PI*ref_longitude)/360.0);
R(1,2) = cos((GPS_TWO_PI*ref_latitude/360.0))*sin((GPS_TWO_PI*ref_longitude)/360.0);
R(2,0) = 0;
R(2,1) = cos((GPS_TWO_PI*ref_latitude)/360.0);
R(2,2) = sin((GPS_TWO_PI*ref_latitude/360.0));
R(2,0) = 0;
R(2,1) = cos((GPS_TWO_PI*ref_latitude)/360.0);
R(2,2) = sin((GPS_TWO_PI*ref_latitude/360.0));
for(unsigned i=0; i<X_vect.size(); i++ )
{
//compute residual with respect to the REFERENCE SOLUTIONS (true IFEN coordinates)
X_vect_res.push_back (X_vect[i] - ref_X); //accuracy
Y_vect_res.push_back (Y_vect[i] - ref_Y); //accuracy
Z_vect_res.push_back (Z_vect[i] - ref_Z); //accuracy
for(unsigned i=0; i<X_vect.size(); i++ )
{
//compute residual with respect to the REFERENCE SOLUTIONS (true IFEN coordinates)
X_vect_res.push_back (X_vect[i] - ref_X); //accuracy
Y_vect_res.push_back (Y_vect[i] - ref_Y); //accuracy
Z_vect_res.push_back (Z_vect[i] - ref_Z); //accuracy
//compute residual with respect to the MEAN SOLUTIONS
X_vect_res_precision.push_back (X_vect[i] - X_vect_mean); //precision
Y_vect_res_precision.push_back (Y_vect[i] - Y_vect_mean); //precision
Z_vect_res_precision.push_back (Z_vect[i] - Z_vect_mean); //precision
//compute residual with respect to the MEAN SOLUTIONS
X_vect_res_precision.push_back (X_vect[i] - X_vect_mean); //precision
Y_vect_res_precision.push_back (Y_vect[i] - Y_vect_mean); //precision
Z_vect_res_precision.push_back (Z_vect[i] - Z_vect_mean); //precision
//apply to residual value the rotation from ECEF to ENU IN REFERENCE POSITION (matrix R)
E_res.push_back (R(0,0)*X_vect_res[i] + R(1,0)*Y_vect_res[i] + R(2,0) * Z_vect_res[i]);
N_res.push_back (R(0,1)*X_vect_res[i] + R(1,1)*Y_vect_res[i] + R(2,1) * Z_vect_res[i]);
Up_res.push_back (R(0,2)*X_vect_res[i] + R(1,2)*Y_vect_res[i] + R(2,2) * Z_vect_res[i]);
//apply to residual value the rotation from ECEF to ENU IN REFERENCE POSITION (matrix R)
E_res.push_back (R(0,0)*X_vect_res[i] + R(1,0)*Y_vect_res[i] + R(2,0) * Z_vect_res[i]);
N_res.push_back (R(0,1)*X_vect_res[i] + R(1,1)*Y_vect_res[i] + R(2,1) * Z_vect_res[i]);
Up_res.push_back (R(0,2)*X_vect_res[i] + R(1,2)*Y_vect_res[i] + R(2,2) * Z_vect_res[i]);
//apply to residual value the rotation from ECEF to ENU MEAN POSITOIN (matrix R)
E_res_precision.push_back (M(0,0)*X_vect_res_precision[i] + M(1,0)*Y_vect_res_precision[i] + M(2,0) * Z_vect_res_precision[i]);
N_res_precision.push_back (M(0,1)*X_vect_res_precision[i] + M(1,1)*Y_vect_res_precision[i] + M(2,1) * Z_vect_res_precision[i]);
Up_res_precision.push_back (M(0,2)*X_vect_res_precision[i] + M(1,2)*Y_vect_res_precision[i] + M(2,2) * Z_vect_res_precision[i]);
//apply to residual value the rotation from ECEF to ENU MEAN POSITOIN (matrix R)
E_res_precision.push_back (M(0,0)*X_vect_res_precision[i] + M(1,0)*Y_vect_res_precision[i] + M(2,0) * Z_vect_res_precision[i]);
N_res_precision.push_back (M(0,1)*X_vect_res_precision[i] + M(1,1)*Y_vect_res_precision[i] + M(2,1) * Z_vect_res_precision[i]);
Up_res_precision.push_back (M(0,2)*X_vect_res_precision[i] + M(1,2)*Y_vect_res_precision[i] + M(2,2) * Z_vect_res_precision[i]);
file_solutions << std::setprecision(5);
file_solutions << std::setw(13)<< time_vect[i]<<
std::setw(22)<< X_vect[i]<< std::setw(20)<< Y_vect[i]<< std::setw(20)<< Z_vect[i] << // X Y Z solutions
std::setw(15)<< longitude_vect [i]<<std::setw(15)<< latitude_vect [i]<< std::setw(15)<< h_vect [i]<< // long, lat, h solutions
std::setw(18)<< E_res[i]<< std::setw(18)<< N_res[i]<< std::setw(18)<< Up_res[i]<< //ENU residual for accuracy columns 7:8:9
std::setw(18)<< E_res_precision[i]<< std::setw(18)<< N_res_precision[i]<< std::setw(18)<<Up_res_precision[i]<< //ENU residual for precision columns 10:11:12
std::setw(18)<< std::setprecision(0)<<tot_obs_vect[i] << std::setw(18)<< std::setprecision(0)<<Gal_obs_vect[i] << std::setw(18)<<std::setprecision(0)<< GPS_obs_vect[i] << // number of satellites
std::setw(18)<<std::setprecision(2)<<GDOP_vect[i] <<std::endl;
}
file_solutions << std::setprecision(5);
file_solutions << std::setw(13)<< time_vect[i]<<
std::setw(22)<< X_vect[i]<< std::setw(20)<< Y_vect[i]<< std::setw(20)<< Z_vect[i] << // X Y Z solutions
std::setw(15)<< longitude_vect [i]<<std::setw(15)<< latitude_vect [i]<< std::setw(15)<< h_vect [i]<< // long, lat, h solutions
std::setw(18)<< E_res[i]<< std::setw(18)<< N_res[i]<< std::setw(18)<< Up_res[i]<< //ENU residual for accuracy columns 7:8:9
std::setw(18)<< E_res_precision[i]<< std::setw(18)<< N_res_precision[i]<< std::setw(18)<<Up_res_precision[i]<< //ENU residual for precision columns 10:11:12
std::setw(18)<< std::setprecision(0)<<tot_obs_vect[i] << std::setw(18)<< std::setprecision(0)<<Gal_obs_vect[i] << std::setw(18)<<std::setprecision(0)<< GPS_obs_vect[i] << // number of satellites
std::setw(18)<<std::setprecision(2)<<GDOP_vect[i] <<std::endl;
}
//compute ENU average and standard deviation over the first 1000 residual solutions ACCURACY
E_res_sum = std::accumulate(E_res.begin(), E_res.end(), 0.0);
E_res_mean = E_res_sum / E_res.size();
//compute ENU average and standard deviation over the first 1000 residual solutions ACCURACY
E_res_sum = std::accumulate(E_res.begin(), E_res.end(), 0.0);
E_res_mean = E_res_sum / E_res.size();
E_res_sq_sum = std::inner_product(E_res.begin(), E_res.end(), E_res.begin(), 0.0);
E_res_stdev = std::sqrt(E_res_sq_sum / E_res.size() - E_res_mean * E_res_mean);
E_res_sq_sum = std::inner_product(E_res.begin(), E_res.end(), E_res.begin(), 0.0);
E_res_stdev = std::sqrt(E_res_sq_sum / E_res.size() - E_res_mean * E_res_mean);
N_res_sum = std::accumulate(N_res.begin(), N_res.end(), 0.0);
N_res_mean = N_res_sum / N_res.size();
N_res_sum = std::accumulate(N_res.begin(), N_res.end(), 0.0);
N_res_mean = N_res_sum / N_res.size();
N_res_sq_sum = std::inner_product(N_res.begin(), N_res.end(), N_res.begin(), 0.0);
N_res_stdev = std::sqrt(N_res_sq_sum / N_res.size() - N_res_mean * N_res_mean);
N_res_sq_sum = std::inner_product(N_res.begin(), N_res.end(), N_res.begin(), 0.0);
N_res_stdev = std::sqrt(N_res_sq_sum / N_res.size() - N_res_mean * N_res_mean);
Up_res_sum = std::accumulate(Up_res.begin(), Up_res.end(), 0.0);
Up_res_mean = Up_res_sum / Up_res.size();
Up_res_sq_sum = std::inner_product(Up_res.begin(), Up_res.end(), Up_res.begin(), 0.0);
Up_res_stdev = std::sqrt(Up_res_sq_sum / Up_res.size() - Up_res_mean * Up_res_mean);
Up_res_sum = std::accumulate(Up_res.begin(), Up_res.end(), 0.0);
Up_res_mean = Up_res_sum / Up_res.size();
Up_res_sq_sum = std::inner_product(Up_res.begin(), Up_res.end(), Up_res.begin(), 0.0);
Up_res_stdev = std::sqrt(Up_res_sq_sum / Up_res.size() - Up_res_mean * Up_res_mean);
//compute ENU average and standard deviation over the first 1000 residual solutions PRECISION
E_res_sum_precision = std::accumulate(E_res_precision.begin(), E_res_precision.end(), 0.0);
E_res_mean_precision = E_res_sum_precision / E_res_precision.size();
//compute ENU average and standard deviation over the first 1000 residual solutions PRECISION
E_res_sum_precision = std::accumulate(E_res_precision.begin(), E_res_precision.end(), 0.0);
E_res_mean_precision = E_res_sum_precision / E_res_precision.size();
E_res_sq_sum_precision = std::inner_product(E_res_precision.begin(), E_res_precision.end(), E_res_precision.begin(), 0.0);
E_res_stdev_precision = std::sqrt(E_res_sq_sum_precision / E_res_precision.size() - E_res_mean_precision * E_res_mean_precision);
N_res_sum_precision = std::accumulate(N_res_precision.begin(), N_res_precision.end(), 0.0);
N_res_mean_precision = N_res_sum_precision / N_res_precision.size();
N_res_sq_sum_precision = std::inner_product(N_res_precision.begin(), N_res_precision.end(), N_res_precision.begin(), 0.0);
N_res_stdev_precision = std::sqrt(N_res_sq_sum_precision / N_res_precision.size() - N_res_mean_precision * N_res_mean_precision);
Up_res_sum_precision = std::accumulate(Up_res_precision.begin(), Up_res_precision.end(), 0.0);
Up_res_mean_precision = Up_res_sum_precision / Up_res_precision.size();
Up_res_sq_sum_precision = std::inner_product(Up_res_precision.begin(), Up_res_precision.end(), Up_res_precision.begin(), 0.0);
Up_res_stdev_precision = std::sqrt(Up_res_sq_sum_precision / Up_res_precision.size() - Up_res_mean_precision * Up_res_mean_precision);
DRMS = std::sqrt( E_res_stdev * E_res_stdev + N_res_stdev*N_res_stdev);
DUE_DRMS = 2*DRMS;
CEP = 0.62 * N_res_stdev + 0.56 * E_res_stdev;
MRSE = std::sqrt( E_res_stdev * E_res_stdev + N_res_stdev*N_res_stdev + Up_res_stdev*Up_res_stdev);
SEP = 0.51* (E_res_stdev * E_res_stdev + N_res_stdev*N_res_stdev + Up_res_stdev*Up_res_stdev);
file_statitics << std::endl;
file_statitics << "ACCURACY (respect true position)" << std::endl;
file_statitics << "East offset [m] = " << E_res_mean << ", East st. dev = " << E_res_stdev << std::endl;
file_statitics << "Nord offset [m] = " << N_res_mean << ",Noth st. dev = " << N_res_stdev << std::endl;
file_statitics << "Up offset [m] = " << Up_res_mean << ", Up st. dev = " << Up_res_stdev << std::endl;
file_statitics << std::endl;
file_statitics << "DRMS= " << DRMS << std::endl;
file_statitics << "DUE_DRMS= " << DUE_DRMS << std::endl;
file_statitics << "CEP= " << CEP << std::endl;
file_statitics << "MRSE= " << MRSE << std::endl;
file_statitics << "SEP= " << SEP << std::endl;
file_statitics << std::endl;
file_statitics << "PRECISION (respect average solution)" << std::endl;
file_statitics << "East offset [m] = " << E_res_mean_precision << ", East st. dev = " << E_res_stdev_precision << std::endl;
file_statitics << "Nord offset [m] = " << N_res_mean_precision << ", ,Noth st. dev = " << N_res_stdev_precision << std::endl;
file_statitics << "Up offset [m]= " << Up_res_mean_precision << ", Up st. dev = " << Up_res_stdev_precision << std::endl;
file_statitics << "----------------------------------------------------------------------------------------------" << std::endl;
file_solutions.close();
file_statitics.close();
}/* END *********************************** COMPUTE STATISTICS OVER THE FIRST 1000 SOLUTOINS **********************************/
E_res_sq_sum_precision = std::inner_product(E_res_precision.begin(), E_res_precision.end(), E_res_precision.begin(), 0.0);
E_res_stdev_precision = std::sqrt(E_res_sq_sum_precision / E_res_precision.size() - E_res_mean_precision * E_res_mean_precision);
N_res_sum_precision = std::accumulate(N_res_precision.begin(), N_res_precision.end(), 0.0);
N_res_mean_precision = N_res_sum_precision / N_res_precision.size();
N_res_sq_sum_precision = std::inner_product(N_res_precision.begin(), N_res_precision.end(), N_res_precision.begin(), 0.0);
N_res_stdev_precision = std::sqrt(N_res_sq_sum_precision / N_res_precision.size() - N_res_mean_precision * N_res_mean_precision);
Up_res_sum_precision = std::accumulate(Up_res_precision.begin(), Up_res_precision.end(), 0.0);
Up_res_mean_precision = Up_res_sum_precision / Up_res_precision.size();
Up_res_sq_sum_precision = std::inner_product(Up_res_precision.begin(), Up_res_precision.end(), Up_res_precision.begin(), 0.0);
Up_res_stdev_precision = std::sqrt(Up_res_sq_sum_precision / Up_res_precision.size() - Up_res_mean_precision * Up_res_mean_precision);
DRMS = std::sqrt( E_res_stdev * E_res_stdev + N_res_stdev*N_res_stdev);
DUE_DRMS = 2*DRMS;
CEP = 0.62 * N_res_stdev + 0.56 * E_res_stdev;
MRSE = std::sqrt( E_res_stdev * E_res_stdev + N_res_stdev*N_res_stdev + Up_res_stdev*Up_res_stdev);
SEP = 0.51* (E_res_stdev * E_res_stdev + N_res_stdev*N_res_stdev + Up_res_stdev*Up_res_stdev);
file_statitics << std::endl;
file_statitics << "ACCURACY (respect true position)" << std::endl;
file_statitics << "East offset [m] = " << E_res_mean << ", East st. dev = " << E_res_stdev << std::endl;
file_statitics << "Nord offset [m] = " << N_res_mean << ",Noth st. dev = " << N_res_stdev << std::endl;
file_statitics << "Up offset [m] = " << Up_res_mean << ", Up st. dev = " << Up_res_stdev << std::endl;
file_statitics << std::endl;
file_statitics << "DRMS= " << DRMS << std::endl;
file_statitics << "DUE_DRMS= " << DUE_DRMS << std::endl;
file_statitics << "CEP= " << CEP << std::endl;
file_statitics << "MRSE= " << MRSE << std::endl;
file_statitics << "SEP= " << SEP << std::endl;
file_statitics << std::endl;
file_statitics << "PRECISION (respect average solution)" << std::endl;
file_statitics << "East offset [m] = " << E_res_mean_precision << ", East st. dev = " << E_res_stdev_precision << std::endl;
file_statitics << "Nord offset [m] = " << N_res_mean_precision << ", ,Noth st. dev = " << N_res_stdev_precision << std::endl;
file_statitics << "Up offset [m]= " << Up_res_mean_precision << ", Up st. dev = " << Up_res_stdev_precision << std::endl;
file_statitics << "----------------------------------------------------------------------------------------------" << std::endl;
file_solutions.close();
file_statitics.close();
} / * END *********************************** COMPUTE STATISTICS OVER THE FIRST 1000 SOLUTOINS ********************************** /
@ -498,7 +494,7 @@ int hybrid_pvt_cc::general_work (int noutput_items, gr_vector_int &ninput_items,
// {
// rp->log_rinex_obs(rp->obsFile, gps_ephemeris_iter->second, d_rx_time, gnss_pseudoranges_map);
// }
// }
// } */
}
}
@ -506,22 +502,17 @@ int hybrid_pvt_cc::general_work (int noutput_items, gr_vector_int &ninput_items,
if (((d_sample_counter % d_display_rate_ms) == 0) and d_ls_pvt->b_valid_position == true)
{
std::cout << "Position at " << boost::posix_time::to_simple_string(d_ls_pvt->d_position_UTC_time)
<< " using "<<d_ls_pvt->d_valid_observations<<" observations is Lat = " << d_ls_pvt->d_latitude_d << " [deg], Long = " << d_ls_pvt->d_longitude_d
<< " [deg], Height= " << d_ls_pvt->d_height_m << " [m]" << std::endl;
<< " using "<<d_ls_pvt->d_valid_observations<<" observations is Lat = " << d_ls_pvt->d_latitude_d << " [deg], Long = " << d_ls_pvt->d_longitude_d
<< " [deg], Height= " << d_ls_pvt->d_height_m << " [m]" << std::endl;
LOG(INFO) << "Position at " << boost::posix_time::to_simple_string(d_ls_pvt->d_position_UTC_time)
<< " using "<<d_ls_pvt->d_valid_observations<<" observations is Lat = " << d_ls_pvt->d_latitude_d << " [deg], Long = " << d_ls_pvt->d_longitude_d
<< " [deg], Height= " << d_ls_pvt->d_height_m << " [m]";
<< " using "<<d_ls_pvt->d_valid_observations<<" observations is Lat = " << d_ls_pvt->d_latitude_d << " [deg], Long = " << d_ls_pvt->d_longitude_d
<< " [deg], Height= " << d_ls_pvt->d_height_m << " [m]";
LOG(INFO) << "Dilution of Precision at " << boost::posix_time::to_simple_string(d_ls_pvt->d_position_UTC_time)
<< " using "<<d_ls_pvt->d_valid_observations<<" observations is HDOP = " << d_ls_pvt->d_HDOP << " VDOP = "
<< d_ls_pvt->d_VDOP <<" TDOP = " << d_ls_pvt->d_TDOP
<< " GDOP = " << d_ls_pvt->d_GDOP;
<< " using "<<d_ls_pvt->d_valid_observations<<" observations is HDOP = " << d_ls_pvt->d_HDOP << " VDOP = "
<< d_ls_pvt->d_VDOP <<" TDOP = " << d_ls_pvt->d_TDOP
<< " GDOP = " << d_ls_pvt->d_GDOP;
}
// MULTIPLEXED FILE RECORDING - Record results to file

9
src/algorithms/PVT/gnuradio_blocks/hybrid_pvt_cc.h
View File

@ -100,7 +100,7 @@ private:
boost::shared_ptr<gr::msg_queue> d_queue;
bool d_dump;
bool b_rinex_header_writen;
Rinex_Printer *rp;
std::shared_ptr<Rinex_Printer> rp;
unsigned int d_nchannels;
std::string d_dump_filename;
std::ofstream d_dump_file;
@ -112,8 +112,8 @@ private:
long unsigned int valid_solution_counter;
long unsigned int valid_solution_16_sat_counter;
long unsigned int d_last_sample_nav_output;
Kml_Printer d_kml_dump;
Nmea_Printer *d_nmea_printer;
std::shared_ptr<Kml_Printer> d_kml_dump;
std::shared_ptr<Nmea_Printer> d_nmea_printer;
double d_rx_time;
double d_TOW_at_curr_symbol_constellation;
/* *********variable used for final statistics****/
@ -209,8 +209,7 @@ private:
double SEP; //3D-50%
/* END variable used for final statistics */
hybrid_ls_pvt *d_ls_pvt;
std::shared_ptr<hybrid_ls_pvt> d_ls_pvt;
bool pseudoranges_pairCompare_min(std::pair<int,Gnss_Synchro> a, std::pair<int,Gnss_Synchro> b);
public:

1
src/algorithms/PVT/libs/hybrid_ls_pvt.h
View File

@ -40,6 +40,7 @@
#include <fstream>
#include <iostream>
#include <map>
#include <memory>
#include <sstream>
#include <string>
#include <armadillo>

2
src/algorithms/PVT/libs/kml_printer.cc
View File

@ -146,7 +146,7 @@ bool Kml_Printer::print_position_galileo(const std::shared_ptr<galileo_e1_ls_pvt
}
}
bool Kml_Printer::print_position_hybrid(hybrid_ls_pvt* position,bool print_average_values)
bool Kml_Printer::print_position_hybrid(const std::shared_ptr<hybrid_ls_pvt>& position, bool print_average_values)
{
double latitude;
double longitude;

3
src/algorithms/PVT/libs/kml_printer.h
View File

@ -35,6 +35,7 @@
#include <iostream>
#include <fstream>
#include <memory>
#include <string>
#include "gps_l1_ca_ls_pvt.h"
#include "galileo_e1_ls_pvt.h"
@ -53,7 +54,7 @@ public:
bool set_headers(std::string filename);
bool print_position(const std::shared_ptr<gps_l1_ca_ls_pvt>& position, bool print_average_values);
bool print_position_galileo(const std::shared_ptr<galileo_e1_ls_pvt>& position, bool print_average_values);
bool print_position_hybrid(hybrid_ls_pvt* position, bool print_average_values);
bool print_position_hybrid(const std::shared_ptr<hybrid_ls_pvt>& position, bool print_average_values);
bool close_file();
Kml_Printer();
~Kml_Printer();