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MOD: vtl_engine format

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This commit is contained in:
miguekf 2023-03-14 16:57:56 +01:00
parent 8f4866151d
commit b96526f1b8
1 changed files with 29 additions and 35 deletions
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62
src/algorithms/PVT/libs/vtl_engine.cc
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@ -67,7 +67,6 @@ bool Vtl_Engine::vtl_loop(Vtl_Data new_data)
kf_Q = arma::eye(n_of_states, n_of_states);
kf_F = arma::eye(n_of_states, n_of_states);
kf_F_fill(kf_F, kf_dt);
kf_y = arma::zeros(3 * new_data.sat_number, 1);
kf_yerr = arma::zeros(3 * new_data.sat_number, 1);
@ -94,9 +93,35 @@ bool Vtl_Engine::vtl_loop(Vtl_Data new_data)
}
uint32_t closure_point = 3;
// State error Covariance Matrix Q (PVT)
kf_Q(0, 0) = 100.0;
kf_Q(1, 1) = 100.0;
kf_Q(2, 2) = 100.0;
kf_Q(3, 3) = 8.0;
kf_Q(4, 4) = 8.0;
kf_Q(5, 5) = 8.0;
kf_Q(6, 6) = .10;
kf_Q(7, 7) = .10;
kf_Q(8, 8) = .10;
kf_Q(9, 9) = 4.0;
kf_Q(10, 10) = 10.0;
// Measurement error Covariance Matrix R assembling
for (int32_t i = 0; i < new_data.sat_number; i++)
{
kf_R(i, i) = 80.0;
kf_R(i + new_data.sat_number, i + new_data.sat_number) = 20.0;
kf_R(i + 2 * new_data.sat_number, i + 2 * new_data.sat_number) = 400.0;
}
//**************************************
// Kalman state prediction (time update)
//**************************************
kf_F_fill(kf_F, kf_dt);
if (counter < closure_point)
{
// // receiver solution from rtklib_solver
// receiver solution from rtklib_solver
kf_dx = kf_x;
kf_x(0) = new_data.rx_p(0);
kf_x(1) = new_data.rx_p(1);
@ -128,46 +153,15 @@ bool Vtl_Engine::vtl_loop(Vtl_Data new_data)
// kf_x(8) = (kf_x(8)-kf_dx(8))/kf_dt;
}
// State error Covariance Matrix Q (PVT)
kf_Q(0, 0) = 100.0;
kf_Q(1, 1) = 100.0;
kf_Q(2, 2) = 100.0;
kf_Q(3, 3) = 8.0;
kf_Q(4, 4) = 8.0;
kf_Q(5, 5) = 8.0;
kf_Q(6, 6) = .10;
kf_Q(7, 7) = .10;
kf_Q(8, 8) = .10;
kf_Q(9, 9) = 4.0;
kf_Q(10, 10) = 10.0;
// Measurement error Covariance Matrix R assembling
for (int32_t i = 0; i < new_data.sat_number; i++)
{
kf_R(i, i) = 80.0;
kf_R(i + new_data.sat_number, i + new_data.sat_number) = 20.0;
kf_R(i + 2 * new_data.sat_number, i + 2 * new_data.sat_number) = 400.0;
}
//**************************************
// Kalman state prediction (time update)
//**************************************
obsv_calc(rho_pri, rhoDot_pri, a_x, a_y, a_z, new_data.sat_number, new_data.sat_p, new_data.sat_v, kf_x);
for (int32_t i = 0; i < new_data.sat_number; i++) //neccesary quantities
{
new_data.sat_LOS(i, 0) = a_x(i);
new_data.sat_LOS(i, 1) = a_y(i);
new_data.sat_LOS(i, 2) = a_z(i);
}
kf_P_x = kf_F * kf_P_x * kf_F.t() + kf_Q; // state error covariance prediction
//**************************************
// Kalman estimation (measurement update)
//**************************************
kf_H = arma::zeros(3 * new_data.sat_number, n_of_states);
kf_H_fill(kf_H, new_data.sat_number, a_x, a_y, a_z, kf_dt);
kf_measurements(kf_yerr, new_data.sat_number, rho_pri, rhoDot_pri, rhoDot_pri * 0, new_data.pr_m, new_data.doppler_hz, kf_x);
//**************************************