Fix positioning with LEO-based constellations

This commit is contained in:
Carles Fernandez 2023-04-01 13:12:42 +02:00
parent bf3c3918ef
commit 16ae683717
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2 changed files with 113 additions and 0 deletions

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@ -69,6 +69,7 @@ target_link_libraries(algorithms_libs_rtklib
PRIVATE
core_system_parameters
algorithms_libs
Armadillo::armadillo
Gflags::gflags
Glog::glog
LAPACK::LAPACK

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@ -33,6 +33,8 @@
#include "rtklib_ephemeris.h"
#include "rtklib_ionex.h"
#include "rtklib_sbas.h"
#include <armadillo>
#include <cmath>
#include <cstring>
#include <vector>
@ -599,6 +601,99 @@ int valsol(const double *azel, const int *vsat, int n,
}
// Lorentz inner product
double lorentz(const arma::vec &x, const arma::vec &y)
{
double p = x(0) * y(0) + x(1) * y(1) + x(2) * y(2) - x(3) * y(3);
return p;
}
// Bancroft method (see https://gssc.esa.int/navipedia/index.php/Bancroft_Method)
arma::vec bancroft(arma::mat B_pass)
{
arma::vec pos = arma::zeros<arma::vec>(4);
for (int iter = 1; iter <= 2; iter++)
{
arma::mat B = B_pass;
const int m = B.n_rows;
for (int i = 0; i < m; i++)
{
double x = B(i, 0);
double y = B(i, 1);
double z = 0;
double traveltime = 0.072;
if (iter == 2)
{
z = B(i, 2);
double rho = std::pow(x - pos(0), 2) + std::pow(y - pos(1), 2) + std::pow(z - pos(2), 2);
traveltime = std::sqrt(rho) / SPEED_OF_LIGHT_M_S;
}
double angle = traveltime * GNSS_OMEGA_EARTH_DOT;
double cosa = std::cos(angle);
double sina = std::sin(angle);
B(i, 0) = cosa * x + sina * y;
B(i, 1) = -sina * x + cosa * y;
}
arma::mat BBB;
if (m > 4)
{
BBB = arma::inv(B.t() * B) * B.t();
}
else
{
BBB = arma::inv(B);
}
arma::vec e = arma::ones<arma::vec>(m);
arma::vec alpha = arma::zeros<arma::vec>(m);
for (int i = 0; i < m; i++)
{
arma::vec Bi = B.row(i).t();
alpha(i) = lorentz(Bi, Bi) / 2;
}
arma::vec BBBe = BBB * e;
arma::vec BBBalpha = BBB * alpha;
double a = lorentz(BBBe, BBBe);
double b = lorentz(BBBe, BBBalpha) - 1;
double c = lorentz(BBBalpha, BBBalpha);
double root = sqrt(b * b - a * c);
arma::vec r(2);
r(0) = (-b - root) / a;
r(1) = (-b + root) / a;
arma::mat possible_pos = arma::zeros<arma::mat>(4, 2);
for (int i = 0; i < 2; i++)
{
possible_pos.col(i) = r(i) * BBBe + BBBalpha;
possible_pos(3, i) = -possible_pos(3, i);
}
arma::vec abs_omc(2);
for (int j = 0; j < m; j++)
{
for (int i = 0; i < 2; i++)
{
double c_dt = possible_pos(3, i);
double calc = arma::norm(B.row(j).head(3).t() - possible_pos.head_rows(3).col(i)) + c_dt;
double omc = B(j, 3) - calc;
abs_omc(i) = std::abs(omc);
}
}
if (abs_omc(0) > abs_omc(1))
{
pos = possible_pos.col(1);
}
else
{
pos = possible_pos.col(0);
}
}
return pos;
}
/* estimate receiver position ------------------------------------------------*/
int estpos(const obsd_t *obs, int n, const double *rs, const double *dts,
const double *vare, const int *svh, const nav_t *nav,
@ -632,6 +727,23 @@ int estpos(const obsd_t *obs, int n, const double *rs, const double *dts,
x[i] = sol->rr[i];
}
// Rough first estimation to initialize the algorithm
if (std::sqrt(x[0] * x[0] + x[1] * x[1] + x[2] * x[2]) < 0.1)
{
arma::mat B = arma::mat(n, 4, arma::fill::zeros);
for (i = 0; i < n; i++)
{
B(i, 0) = rs[0 + i * 6];
B(i, 1) = rs[1 + i * 6];
B(i, 2) = rs[2 + i * 6];
B(i, 3) = obs[i].P[0];
}
arma::vec pos = bancroft(B);
x[0] = pos(0);
x[1] = pos(1);
x[2] = pos(2);
}
for (i = 0; i < MAXITR; i++)
{
/* pseudorange residuals */