static void kalman_correct(kalman_t *kf, float p, float v)
{
/* K = P * HT * inv(H * P * HT + R) */
m_mlt(kf->H, kf->P, kf->T0);
mmtr_mlt(kf->T0, kf->H, kf->T1);
m_add(kf->T1, kf->R, kf->T0);
m_inverse(kf->T0, kf->T1);
mmtr_mlt(kf->P, kf->H, kf->T0);
m_mlt(kf->T0, kf->T1, kf->K);
/* x = x + K * (z - H * x) */
mv_mlt(kf->H, kf->x, kf->t0);
v_set_val(kf->z, 0, p);
v_set_val(kf->z, 1, v);
v_sub(kf->z, kf->t0, kf->t1);
mv_mlt(kf->K, kf->t1, kf->t0);
v_add(kf->x, kf->t0, kf->t1);
v_copy(kf->t1, kf->x);
/* P = (I - K * H) * P */
m_mlt(kf->K, kf->H, kf->T0);
m_sub(kf->I, kf->T0, kf->T1);
m_mlt(kf->T1, kf->P, kf->T0);
m_copy(kf->T0, kf->P);
}
static void kalman_predict(kalman_t *kf, float a)
{
/* x = A * x + B * u */
v_set_val(kf->u, 0, a);
mv_mlt(kf->A, kf->x, kf->t0);
mv_mlt(kf->B, kf->u, kf->t1);
v_add(kf->t0, kf->t1, kf->x);
/* P = A * P * AT + Q */
m_mlt(kf->A, kf->P, kf->T0);
mmtr_mlt(kf->T0, kf->A, kf->T1);
m_add(kf->T1, kf->Q, kf->P);
}
void booz_sensors_model_accel_run( double time ) {
if (time < bsm.accel_next_update)
return;
static VEC* accel_ltp = VNULL;
accel_ltp = v_resize(accel_ltp, AXIS_NB);
/* substract gravity to acceleration in ltp frame */
accel_ltp = v_sub(bfm.accel_ltp, bfm.g_ltp, accel_ltp);
/* convert to body frame */
static VEC* accel_body = VNULL;
accel_body = v_resize(accel_body, AXIS_NB);
mv_mlt(bfm.dcm, accel_ltp, accel_body);
/* convert to imu frame */
static VEC* accel_imu = VNULL;
accel_imu = v_resize(accel_imu, AXIS_NB);
mv_mlt(bsm.body_to_imu, accel_body, accel_imu);
// printf(" accel_body ~ %f %f %f\n", accel_body->ve[AXIS_X], accel_body->ve[AXIS_Y], accel_body->ve[AXIS_Z]);
/* compute accel reading */
mv_mlt(bsm.accel_sensitivity, accel_imu, bsm.accel);
v_add(bsm.accel, bsm.accel_neutral, bsm.accel);
/* compute accel error readings */
static VEC *accel_error = VNULL;
accel_error = v_resize(accel_error, AXIS_NB);
accel_error = v_zero(accel_error);
/* add a gaussian noise */
accel_error = v_add_gaussian_noise(accel_error, bsm.accel_noise_std_dev, accel_error);
/* constant bias */
accel_error = v_add(accel_error, bsm.accel_bias, accel_error);
/* scale to adc units FIXME : should use full adc gain ? sum ? */
accel_error->ve[AXIS_X] = accel_error->ve[AXIS_X] * bsm.accel_sensitivity->me[AXIS_X][AXIS_X];
accel_error->ve[AXIS_Y] = accel_error->ve[AXIS_Y] * bsm.accel_sensitivity->me[AXIS_Y][AXIS_Y];
accel_error->ve[AXIS_Z] = accel_error->ve[AXIS_Z] * bsm.accel_sensitivity->me[AXIS_Z][AXIS_Z];
/* add per accel error reading */
bsm.accel = v_add(bsm.accel, accel_error, bsm.accel);
/* round signal to account for adc discretisation */
RoundSensor(bsm.accel);
/* saturation */
BoundSensor(bsm.accel, 0, bsm.accel_resolution);
// printf("sim adc %f %f %f\n",bsm.accel->ve[AXIS_X] ,bsm.accel->ve[AXIS_Y] ,bsm.accel->ve[AXIS_Z]);
bsm.accel_next_update += BSM_ACCEL_DT;
bsm.accel_available = TRUE;
}
// kernelRegression
// x:data
// dimention: x's dimention
// y: label of x
// num: number of data
// result: coeffience
double *kernelRegression(double **x,int dimention,double *y,int num,double gamma,double regilarization){
VEC *label;
MAT *gram,*ident,*inv;
int i,j;
double *result;
ident = m_get(num,num);
label = v_get(num);
memcpy(label->ve,y,sizeof(double)*num);
gram = m_get(num,num);
ident = m_get(num,num);
for(i=0;i<num;i++){
for(j=0;j<num;j++){
gram->me[i][j]=kernel(x[i],x[j],dimention,gamma);
}
}
inv=m_add(gram,sm_mlt(regilarization,m_ident(ident),NULL),NULL);
inv=m_inverse(inv,NULL); //memory leak.
VEC *coefficient=v_get(num);
mv_mlt(inv,label,coefficient);
result=malloc(sizeof(double)*num);
memcpy(result,coefficient->ve,sizeof(double)*num);
m_free(ident);
m_free(gram);
m_free(inv);
v_free(label);
v_free(coefficient);
return result;
}
static double calc_ll(MAT *Vw, MAT *X, VEC *y, int n) {
/*
* calculate negative log-likelyhood
*/
static MAT *M1 = MNULL;
static VEC *res = VNULL, *tmp = VNULL;
double zQz;
volatile double ldet;
int i;
IminAw->m -= n;
/* |B'(I-A)Vw(I-A)'B|, pretty inefficiently, can 4 x as fast: */
/* M1 = m_mlt(IminAw, Vw, M1); M2 = mmtr_mlt(M1, IminAw, M2); */
M1 = XVXt_mlt(IminAw, Vw, M1);
LDLfactor(M1);
for (i = 0, ldet = 0.0; i < M1->m; i++) {
assert(M1->me[i][i] > 0.0);
ldet += log(M1->me[i][i]);
}
/* y'B'A'(B'A'Vw A B)-1 A B y */
res = mv_mlt(IminAw, y, res); /* the m-n residuals B(I-A)'Y */
tmp = LDLsolve(M1, res, tmp);
/* M1 tmp = res -> tmp = M1-1 res */
zQz = in_prod(res, tmp); /* res' M1inv res */
IminAw->m += n;
return 0.5 * ((Vw->m - n)*log(2*PI) + ldet + zQz);
}
void booz_sensors_model_mag_run( double time ) {
if (time < bsm.mag_next_update)
return;
/* rotate h to body frame */
static VEC *h_body = VNULL;
h_body = v_resize(h_body, AXIS_NB);
mv_mlt(bfm.dcm, bfm.h_ltp, h_body);
/* rotate to imu frame */
static VEC *h_imu = VNULL;
h_imu = v_resize(h_imu, AXIS_NB);
mv_mlt(bsm.body_to_imu, h_body, h_imu);
/* rotate to sensor frame */
static VEC *h_sensor = VNULL;
h_sensor = v_resize(h_sensor, AXIS_NB);
mv_mlt(bsm.mag_imu_to_sensor, h_imu, h_sensor);
mv_mlt(bsm.mag_sensitivity, h_sensor, bsm.mag);
v_add(bsm.mag, bsm.mag_neutral, bsm.mag);
/* compute mag error readings */
static VEC *mag_error = VNULL;
mag_error = v_resize(mag_error, AXIS_NB);
/* add hard iron now ? */
mag_error = v_zero(mag_error);
/* add a gaussian noise */
mag_error = v_add_gaussian_noise(mag_error, bsm.mag_noise_std_dev, mag_error);
mag_error->ve[AXIS_X] = mag_error->ve[AXIS_X] * bsm.mag_sensitivity->me[AXIS_X][AXIS_X];
mag_error->ve[AXIS_Y] = mag_error->ve[AXIS_Y] * bsm.mag_sensitivity->me[AXIS_Y][AXIS_Y];
mag_error->ve[AXIS_Z] = mag_error->ve[AXIS_Z] * bsm.mag_sensitivity->me[AXIS_Z][AXIS_Z];
/* add error */
v_add(bsm.mag, mag_error, bsm.mag);
// printf("h body %f %f %f\n", h_body->ve[AXIS_X], h_body->ve[AXIS_Y], h_body->ve[AXIS_Z]);
// printf("mag %f %f %f\n", bsm.mag->ve[AXIS_X], bsm.mag->ve[AXIS_Y], bsm.mag->ve[AXIS_Z]);
/* round signal to account for adc discretisation */
RoundSensor(bsm.mag);
bsm.mag_next_update += BSM_MAG_DT;
bsm.mag_available = TRUE;
}
void Ukf(VEC *omega, VEC *mag_vec, VEC *mag_vec_I, VEC *sun_vec, VEC *sun_vec_I, VEC *Torq_ext, double t, double h, int eclipse, VEC *state, VEC *st_error, VEC *residual, int *P_flag, double sim_time)
{
static VEC *omega_prev = VNULL, *mag_vec_prev = VNULL, *sun_vec_prev = VNULL, *q_s_c = VNULL, *x_prev = VNULL, *Torq_prev, *x_m_o;
static MAT *Q = {MNULL}, *R = {MNULL}, *Pprev = {MNULL};
static double alpha, kappa, lambda, sqrt_lambda, w_m_0, w_c_0, w_i, beta;
static int n_states, n_sig_pts, n_err_states, iter_num, initialize=0;
VEC *x = VNULL, *x_priori = VNULL, *x_err_priori = VNULL, *single_sig_pt = VNULL, *v_temp = VNULL, *q_err_quat = VNULL,
*err_vec = VNULL, *v_temp2 = VNULL, *x_ang_vel = VNULL, *meas = VNULL, *meas_priori = VNULL,
*v_temp3 = VNULL, *x_posteriori_err = VNULL, *x_b_m = VNULL, *x_b_g = VNULL;
MAT *sqrt_P = {MNULL}, *P = {MNULL}, *P_priori = {MNULL}, *sig_pt = {MNULL}, *sig_vec_mat = {MNULL},
*err_sig_pt_mat = {MNULL}, *result = {MNULL}, *result_larger = {MNULL}, *result1 = {MNULL}, *Meas_err_mat = {MNULL},
*P_zz = {MNULL}, *iP_vv = {MNULL}, *P_xz = {MNULL}, *K = {MNULL}, *result2 = {MNULL}, *result3 = {MNULL}, *C = {MNULL};
int update_mag_vec, update_sun_vec, update_omega, i, j;
double d_res;
if (inertia == MNULL)
{
inertia = m_get(3,3);
m_ident(inertia);
inertia->me[0][0] = 0.007;
inertia->me[1][1] = 0.014;
inertia->me[2][2] = 0.015;
}
if (initialize == 0){
iter_num = 1;
n_states = (7+6);
n_err_states = (6+6);
n_sig_pts = 2*n_err_states+1;
alpha = sqrt(3);
kappa = 3 - n_states;
lambda = alpha*alpha * (n_err_states+kappa) - n_err_states;
beta = -(1-(alpha*alpha));
w_m_0 = (lambda)/(n_err_states + lambda);
w_c_0 = (lambda/(n_err_states + lambda)) + (1 - (alpha*alpha) + beta);
w_i = 0.5/(n_err_states +lambda);
initialize = 1;
sqrt_lambda = (lambda+n_err_states);
if(q_s_c == VNULL)
{
q_s_c = v_get(4);
q_s_c->ve[0] = -0.020656;
q_s_c->ve[1] = 0.71468;
q_s_c->ve[2] = -0.007319;
q_s_c->ve[3] = 0.6991;
}
if(Torq_prev == VNULL)
{
Torq_prev = v_get(3);
v_zero(Torq_prev);
}
quat_normalize(q_s_c);
}
result = m_get(9,9);
m_zero(result);
result1 = m_get(n_err_states, n_err_states);
m_zero(result1);
if(x_m_o == VNULL)
{
x_m_o = v_get(n_states);
v_zero(x_m_o);
}
x = v_get(n_states);
v_zero(x);
x_err_priori = v_get(n_err_states);
v_zero(x_err_priori);
x_ang_vel = v_get(3);
v_zero(x_ang_vel);
sig_pt = m_get(n_states, n_err_states);
m_zero(sig_pt);
if (C == MNULL)
{
C = m_get(9, 12);
m_zero(C);
}
if (P_priori == MNULL)
{
P_priori = m_get(n_err_states, n_err_states);
m_zero(P_priori);
}
if (Q == MNULL)
{
Q = m_get(n_err_states, n_err_states);
m_ident(Q);
//
Q->me[0][0] = 0.0001;
Q->me[1][1] = 0.0001;
Q->me[2][2] = 0.0001;
Q->me[3][3] = 0.0001;
Q->me[4][4] = 0.0001;
Q->me[5][5] = 0.0001;
Q->me[6][6] = 0.000001;
Q->me[7][7] = 0.000001;
Q->me[8][8] = 0.000001;
Q->me[9][9] = 0.000001;
Q->me[10][10] = 0.000001;
Q->me[11][11] = 0.000001;
}
if( Pprev == MNULL)
{
Pprev = m_get(n_err_states, n_err_states);
m_ident(Pprev);
Pprev->me[0][0] = 1e-3;
Pprev->me[1][1] = 1e-3;
Pprev->me[2][2] = 1e-3;
Pprev->me[3][3] = 1e-3;
Pprev->me[4][4] = 1e-3;
Pprev->me[5][5] = 1e-3;
Pprev->me[6][6] = 1e-4;
Pprev->me[7][7] = 1e-4;
Pprev->me[8][8] = 1e-4;
Pprev->me[9][9] = 1e-3;
Pprev->me[10][10] = 1e-3;
Pprev->me[11][11] = 1e-3;
}
if (R == MNULL)
{
R = m_get(9,9);
m_ident(R);
R->me[0][0] = 0.034;
R->me[1][1] = 0.034;
R->me[2][2] = 0.034;
R->me[3][3] = 0.00027;
R->me[4][4] = 0.00027;
R->me[5][5] = 0.00027;
R->me[6][6] = 0.000012;
R->me[7][7] = 0.000012;
R->me[8][8] = 0.000012;
}
if(eclipse==0)
{
R->me[0][0] = 0.00034;
R->me[1][1] = 0.00034;
R->me[2][2] = 0.00034;
R->me[3][3] = 0.00027;
R->me[4][4] = 0.00027;
R->me[5][5] = 0.00027;
R->me[6][6] = 0.0000012;
R->me[7][7] = 0.0000012;
R->me[8][8] = 0.0000012;
Q->me[0][0] = 0.00001;
Q->me[1][1] = 0.00001;
Q->me[2][2] = 0.00001;
Q->me[3][3] = 0.0001;//0.000012;//0.0175;//1e-3;
Q->me[4][4] = 0.0001;//0.0175;//1e-3;
Q->me[5][5] = 0.0001;//0.0175;//1e-3;
Q->me[6][6] = 0.0000000001;//1e-6;
Q->me[7][7] = 0.0000000001;
Q->me[8][8] = 0.0000000001;
Q->me[9][9] = 0.0000000001;
Q->me[10][10] = 0.0000000001;
Q->me[11][11] = 0.0000000001;
}
else
{
R->me[0][0] = 0.34;
R->me[1][1] = 0.34;
R->me[2][2] = 0.34;
R->me[3][3] = 0.0027;
R->me[4][4] = 0.0027;
R->me[5][5] = 0.0027;
R->me[6][6] = 0.0000012;
R->me[7][7] = 0.0000012;
R->me[8][8] = 0.0000012;
Q->me[0][0] = 0.00001;
Q->me[1][1] = 0.00001;
Q->me[2][2] = 0.00001;
Q->me[3][3] = 0.0001;
Q->me[4][4] = 0.0001;
Q->me[5][5] = 0.0001;
Q->me[6][6] = 0.0000000001;
Q->me[7][7] = 0.0000000001;
Q->me[8][8] = 0.0000000001;
Q->me[9][9] = 0.0000000001;
Q->me[10][10] = 0.0000000001;
Q->me[11][11] = 0.0000000001;
}
if(omega_prev == VNULL)
{
omega_prev = v_get(3);
v_zero(omega_prev);
}
if(mag_vec_prev == VNULL)
{
mag_vec_prev = v_get(3);
v_zero(mag_vec_prev);
}
if(sun_vec_prev == VNULL)
{
sun_vec_prev = v_get(3);
v_zero(sun_vec_prev);
}
if (err_sig_pt_mat == MNULL)
{
err_sig_pt_mat = m_get(n_err_states, n_sig_pts);
m_zero(err_sig_pt_mat);
}
if(q_err_quat == VNULL)
{
q_err_quat = v_get(4);
// q_err_quat = v_resize(q_err_quat,4);
v_zero(q_err_quat);
}
if(err_vec == VNULL)
{
err_vec = v_get(3);
v_zero(err_vec);
}
v_temp = v_get(9);
v_resize(v_temp,3);
if(x_prev == VNULL)
{
x_prev = v_get(n_states);
v_zero(x_prev);
x_prev->ve[3] = 1;
quat_mul(x_prev,q_s_c,x_prev);
x_prev->ve[4] = 0.0;
x_prev->ve[5] = 0.0;
x_prev->ve[6] = 0.0;
x_prev->ve[7] = 0.0;
x_prev->ve[8] = 0.0;
x_prev->ve[9] = 0.0;
x_prev->ve[10] = 0.0;
x_prev->ve[11] = 0.0;
x_prev->ve[12] = 0.0;
}
sqrt_P = m_get(n_err_states, n_err_states);
m_zero(sqrt_P);
//result = m_resize(result, n_err_states, n_err_states);
result_larger = m_get(n_err_states, n_err_states);
int n, m;
for(n = 0; n < result->n; n++)
{
for(m = 0; m < result->m; m++)
{
result_larger->me[m][n] = result->me[m][n];
}
}
//v_resize(v_temp, n_err_states);
V_FREE(v_temp);
v_temp = v_get(n_err_states);
symmeig(Pprev, result_larger, v_temp);
i = 0;
for (j=0;j<n_err_states;j++){
if(v_temp->ve[j]>=0);
else{
i = 1;
}
}
m_copy(Pprev, result1);
sm_mlt(sqrt_lambda, result1, result_larger);
catchall(CHfactor(result_larger), printerr(sim_time));
for(i=0; i<n_err_states; i++){
for(j=i+1; j<n_err_states; j++){
result_larger->me[i][j] = 0;
}
}
expandstate(result_larger, x_prev, sig_pt);
sig_vec_mat = m_get(n_states, n_sig_pts);
m_zero(sig_vec_mat);
for(j = 0; j<(n_err_states+1); j++)
{
for(i = 0; i<n_states; i++)
{
if(j==0)
{
sig_vec_mat->me[i][j] = x_prev->ve[i];
}
else if(j>0)
{
sig_vec_mat->me[i][j] = sig_pt->me[i][j-1];
}
}
}
sm_mlt(-1,result_larger,result_larger);
expandstate(result_larger, x_prev, sig_pt);
for(j = (n_err_states+1); j<n_sig_pts; j++)
{
for(i = 0; i<n_states; i++)
{
sig_vec_mat->me[i][j] = sig_pt->me[i][j-(n_err_states+1)];
}
}
single_sig_pt = v_get(n_states);
quat_rot_vec(q_s_c, Torq_ext);
for(j=0; j<(n_sig_pts); j++)
{
//v_temp = v_resize(v_temp,n_states);
V_FREE(v_temp);
v_temp = v_get(n_states);
get_col(sig_vec_mat, j, single_sig_pt);
v_copy(single_sig_pt, v_temp);
rk4(t, v_temp, h, Torq_prev);
set_col(sig_vec_mat, j, v_temp);
}
v_copy(Torq_ext, Torq_prev);
x_priori = v_get(n_states);
v_zero(x_priori);
v_resize(v_temp,n_states);
v_zero(v_temp);
for(j=0; j<n_sig_pts; j++)
{
get_col( sig_vec_mat, j, v_temp);
if(j == 0)
{
v_mltadd(x_priori, v_temp, w_m_0, x_priori);
}
else
{
v_mltadd(x_priori, v_temp, w_i, x_priori);
}
}
v_copy(x_priori, v_temp);
v_resize(v_temp,4);
quat_normalize(v_temp);//zaroori hai ye
for(i=0; i<4; i++)
{
x_priori->ve[i] = v_temp->ve[i];
}
v_resize(v_temp, n_states);
v_copy(x_priori, v_temp);
v_resize(v_temp, 4);
quat_inv(v_temp, v_temp);
for(i=0; i<3; i++)
{
x_ang_vel->ve[i] = x_priori->ve[i+4];
}
x_b_m = v_get(3);
v_zero(x_b_m);
x_b_g = v_get(3);
v_zero(x_b_g);
/////////////////////////check it!!!!!!!! checked... doesnt change much the estimate
for(i=0; i<3; i++)
{
x_b_m->ve[i] = x_priori->ve[i+7];
x_b_g->ve[i] = x_priori->ve[i+10];
}
v_temp2 = v_get(n_states);
v_zero(v_temp2);
for(j=0; j<n_sig_pts; j++)
{
v_resize(v_temp2, n_states);
get_col( sig_vec_mat, j, v_temp2);
for(i=0; i<3; i++)
{
err_vec->ve[i] = v_temp2->ve[i+4];
}
v_resize(v_temp2, 4);
quat_mul(v_temp2, v_temp, q_err_quat);
v_resize(q_err_quat, n_err_states);
v_sub(err_vec, x_ang_vel, err_vec);
for(i=3; i<6; i++)
{
q_err_quat->ve[i] = err_vec->ve[i-3];
}
for(i=0; i<3; i++)
{
err_vec->ve[i] = v_temp2->ve[i+7];
}
v_sub(err_vec, x_b_m, err_vec);
for(i=6; i<9; i++)
{
q_err_quat->ve[i] = err_vec->ve[i-6];
}
for(i=0; i<3; i++)
{
err_vec->ve[i] = v_temp2->ve[i+10];
}
v_sub(err_vec, x_b_g, err_vec);
for(i=9; i<12; i++)
{
q_err_quat->ve[i] = err_vec->ve[i-9];
}
set_col(err_sig_pt_mat, j, q_err_quat);
if(j==0){
v_mltadd(x_err_priori, q_err_quat, w_m_0, x_err_priori);
}
else{
v_mltadd(x_err_priori, q_err_quat, w_i, x_err_priori);
}
}
v_resize(v_temp,n_err_states);
for (j=0;j<13;j++)
{
get_col(err_sig_pt_mat, j, v_temp);
v_sub(v_temp, x_err_priori, v_temp);
get_dyad(v_temp, v_temp, result_larger);
if(j==0){
sm_mlt(w_c_0, result_larger, result_larger);
}
else{
sm_mlt(w_i, result_larger, result_larger);
}
m_add(P_priori, result_larger, P_priori);
}
symmeig(P_priori, result_larger, v_temp);
i = 0;
for (j=0;j<n_err_states;j++){
if(v_temp->ve[j]>=0);
else{
i = 1;
}
}
m_add(P_priori, Q, P_priori);
v_resize(v_temp,3);
meas = v_get(9);
if (!(is_vec_equal(sun_vec, sun_vec_prev)) /*&& (eclipse==0)*/ ){
update_sun_vec =1;
v_copy(sun_vec, sun_vec_prev);
v_copy(sun_vec, v_temp);
normalize_vec(v_temp);
quat_rot_vec(q_s_c, v_temp);
normalize_vec(v_temp);
for(i = 0; i<3;i++){
meas->ve[i] = v_temp->ve[i];
}
}
else{
update_sun_vec =0;
for(i = 0; i<3;i++){
meas->ve[i] = 0;
}
}
if (!(is_vec_equal(mag_vec, mag_vec_prev)) ){
update_mag_vec =1;
v_copy(mag_vec, mag_vec_prev);
v_copy(mag_vec, v_temp);
normalize_vec(v_temp);
quat_rot_vec(q_s_c, v_temp);
normalize_vec(v_temp);
for(i=3; i<6; i++){
meas->ve[i] = v_temp->ve[i-3];
}
}
else{
update_mag_vec =0;
for(i=3; i<6; i++){
meas->ve[i] = 0;//mag_vec_prev->ve[i-3];
}
}
if (!(is_vec_equal(omega, omega_prev) ) ){
update_omega =1;
v_copy(omega, omega_prev);
v_copy(omega, v_temp);
quat_rot_vec(q_s_c, v_temp);
for(i=6; i<9; i++){
meas->ve[i] = v_temp->ve[i-6];
}
}
else{
update_omega =0;
for(i=6; i<9; i++){
meas->ve[i] = 0;
}
}
v_resize(v_temp, 9);
v_resize(v_temp2, n_states);
v_temp3 = v_get(3);
Meas_err_mat = m_get(9, n_sig_pts);
m_zero(Meas_err_mat);
meas_priori = v_get(9);
v_zero(meas_priori);
for(j=0; j<n_sig_pts; j++)
{
get_col( sig_vec_mat, j, v_temp2);
if(update_omega){
for(i=6;i<9;i++){
v_temp->ve[i] = v_temp2->ve[i-2] + x_b_g->ve[i-6];
}
}
else{
for(i=6;i<9;i++){
v_temp->ve[i] = 0;
}
}
v_resize(v_temp2, 4);
if(update_sun_vec){
for(i=0;i<3;i++){
v_temp3->ve[i] = sun_vec_I->ve[i];
}
quat_rot_vec(v_temp2, v_temp3);
normalize_vec(v_temp3);
for(i=0;i<3;i++){
v_temp->ve[i] = v_temp3->ve[i];
}
}
else{
for(i=0;i<3;i++){
v_temp->ve[i] = 0;
}
}
if(update_mag_vec){
for(i=0;i<3;i++){
v_temp3->ve[i] = mag_vec_I->ve[i];
}
normalize_vec(v_temp3);
for(i=0;i<3;i++){
v_temp3->ve[i] = v_temp3->ve[i] + x_b_m->ve[i];
}
quat_rot_vec(v_temp2, v_temp3);
normalize_vec(v_temp3);
for(i=3;i<6;i++){
v_temp->ve[i] = v_temp3->ve[i-3];
}
}
else{
for(i=3;i<6;i++){
v_temp->ve[i] = 0;
}
}
set_col(Meas_err_mat, j, v_temp);
if(j==0){
v_mltadd(meas_priori, v_temp, w_m_0, meas_priori);
}
else{
v_mltadd(meas_priori, v_temp, w_i, meas_priori);
}
}
v_resize(v_temp, 9);
m_resize(result_larger, 9, 9);
m_zero(result_larger);
P_zz = m_get(9, 9);
m_zero(P_zz);
iP_vv = m_get(9, 9);
m_zero(iP_vv);
P_xz = m_get(n_err_states, 9);
m_zero(P_xz);
v_resize(v_temp2, n_err_states);
result1 = m_resize(result1,n_err_states,9);
for (j=0; j<n_sig_pts; j++)
{
get_col( Meas_err_mat, j, v_temp);
get_col( err_sig_pt_mat, j, v_temp2);
v_sub(v_temp, meas_priori, v_temp);
get_dyad(v_temp, v_temp, result_larger);
get_dyad(v_temp2, v_temp, result1);
if(j==0){
sm_mlt(w_c_0, result_larger, result_larger);
sm_mlt(w_c_0, result1, result1);
}
else{
sm_mlt(w_i, result_larger, result_larger);
sm_mlt(w_i, result1, result1);
}
m_add(P_zz, result_larger, P_zz);
m_add(P_xz, result1, P_xz);
}
symmeig(P_zz, result_larger, v_temp);
i = 0;
for (j=0; j<9; j++){
if(v_temp->ve[j]>=0);
else{
i = 1;
}
}
m_add(P_zz, R, P_zz);
m_inverse(P_zz, iP_vv);
K = m_get(n_err_states, 9);
m_zero(K);
m_mlt(P_xz, iP_vv, K);
if(x_posteriori_err == VNULL)
{
x_posteriori_err = v_get(n_err_states);
v_zero(x_posteriori_err);
}
v_resize(v_temp,9);
v_sub(meas, meas_priori, v_temp);
v_copy(v_temp, residual);
mv_mlt(K, v_temp, x_posteriori_err);
v_resize(v_temp2,3);
for(i=0;i<3;i++){
v_temp2->ve[i] = x_posteriori_err->ve[i];
}
for(i=4; i<n_states; i++){
x_prev->ve[i] = (x_posteriori_err->ve[i-1] + x_priori->ve[i]);
}
d_res = v_norm2(v_temp2);
v_resize(v_temp2,4);
if(d_res<=1 /*&& d_res!=0*/){
v_temp2->ve[0] = v_temp2->ve[0];
v_temp2->ve[1] = v_temp2->ve[1];
v_temp2->ve[2] = v_temp2->ve[2];
v_temp2->ve[3] = sqrt(1-d_res);
}
else//baad main daala hai
{
v_temp2->ve[0] = (v_temp2->ve[0])/(sqrt(1+d_res));
v_temp2->ve[1] = (v_temp2->ve[1])/(sqrt(1+d_res));
v_temp2->ve[2] = (v_temp2->ve[2])/(sqrt(1+d_res));
v_temp2->ve[3] = 1/sqrt(1 + d_res);
}
v_resize(x_posteriori_err, n_states);
for(i=(n_states-1); i>3; i--){
x_posteriori_err->ve[i] = x_posteriori_err->ve[i-1];
}
for(i=0; i<4; i++){
x_posteriori_err->ve[i] = v_temp2->ve[i];
}
quat_mul(v_temp2, x_priori, v_temp2);
for(i=0;i<4;i++){
x_prev->ve[i] = v_temp2->ve[i];
}
m_resize(result_larger, n_err_states, 9);
m_mlt(K, P_zz, result_larger);
result2 = m_get(9, n_err_states);
m_transp(K,result2);
m_resize(result1, n_err_states, n_err_states);
m_mlt(result_larger, result2, result1);
v_resize(v_temp, n_err_states);
m_sub(P_priori, result1, Pprev);
symmeig(Pprev, result1 , v_temp);
i = 0;
for (j=0;j<n_err_states;j++){
if(v_temp->ve[j]>=0);
else{
i = 1;
}
}
v_copy(x_prev, v_temp);
v_resize(v_temp,4);
v_copy(x_prev, v_temp2);
v_resize(v_temp2,4);
v_copy(x_prev, x_m_o);
//v_resize(x_m_o, 4);
v_resize(v_temp,3);
quat_inv(q_s_c, v_temp2);
v_copy( x_prev, state);
quat_mul(state, v_temp2, state);
for(i=0; i<3; i++){
v_temp->ve[i] = state->ve[i+4];
}
quat_rot_vec(v_temp2, v_temp);
for(i=0; i<3; i++){
state->ve[i+4] = v_temp->ve[i];
}
v_copy( x_posteriori_err, st_error);
iter_num++;
V_FREE(x);
V_FREE(x_priori);
V_FREE(x_err_priori);
V_FREE(single_sig_pt);
V_FREE(v_temp);
V_FREE(q_err_quat);
V_FREE(err_vec);
V_FREE(v_temp2);
V_FREE(x_ang_vel);
V_FREE(meas);
V_FREE(meas_priori);
V_FREE(v_temp3);
V_FREE(x_posteriori_err);
V_FREE(x_b_m);
V_FREE(x_b_g);
M_FREE(sqrt_P);
M_FREE(P);
M_FREE(P_priori);
M_FREE(sig_pt);
M_FREE(sig_vec_mat);
M_FREE(err_sig_pt_mat);
M_FREE(result);
M_FREE(result_larger);
M_FREE(result1);
M_FREE(Meas_err_mat);
M_FREE(P_zz);
M_FREE(iP_vv);
M_FREE(P_xz);
M_FREE(K);
M_FREE(result2);
M_FREE(result3);
}
void Sy_m( VEC *x, VEC *Torq_ext, VEC *out)
{
static MAT *iI = {MNULL};
MAT *sk_om = {MNULL};
VEC *q, *w, *q_dot, *w_dot, *v_res1, *v_res2;
int i;
if ( x == VNULL || out == VNULL ){
error(E_NULL,"f");
}
if ( x->dim != 13 || out->dim != 13){
error(E_SIZES,"f");
}
q = v_get(4);
for (i=0; i<4; i++)
{
q->ve[i] = x->ve[i];
}
w = v_get(3);
for (i=4; i<7; i++)
{
w->ve[i-4] = x->ve[i];
}
v_res1 = v_get(3);
v_zero(v_res1);
v_res2 = v_get(3);
v_zero(v_res2);
q_dot = v_get(4);
v_zero(q_dot);
w_dot = v_get(3);
v_zero(w_dot);
if(iI == MNULL){
iI = m_get(3,3);
m_zero(iI);
}
sk_om = m_get(4,4);
skew_mat(sk_om, w);
mv_mlt(sk_om, q, q_dot);
sv_mlt(0.5, q_dot, q);
for (i=0; i<4; i++)
{
out->ve[i] = q->ve[i];
}
/*****wd********/
m_resize(sk_om, 3, 3);
mv_mlt(inertia, w, v_res1);
mv_mlt(sk_om, v_res1, v_res2);
v_sub(Torq_ext, v_res2, v_res1);
m_inverse(inertia,iI);
mv_mlt(iI, v_res1, w_dot);
for (i=4; i<7; i++)
{
out->ve[i] = w_dot->ve[i-4];
}
for (i=7; i<13; i++)
{
out->ve[i] = 0;
}
M_FREE(sk_om);
//M_FREE(iI);
V_FREE(q);
V_FREE(w);
V_FREE(q_dot);
V_FREE(w_dot);
V_FREE(v_res1);
V_FREE(v_res2);
}
void
test(const int n, const int lb, const int ub, bool dumpfull) {
// Generate a special-band-matrix mfull With lb lower diagonals, ub upper
// diagonals and the elements of the highest upper diagonal extended across
// each row
MAT *mfull = m_get(n, n);
//m_rand(mfull);
randlist(mfull->base, (mfull->n)*(mfull->n));
double **me = mfull->me;
for(int i = 0; i < n; i++) {
for(int j = 0; j < i - lb; j++)
me[i][j] = 0.0;
for(int j = i+ub+1; j < n; j++)
me[i][j] = me[i][i+ub];
}
// Copy matrix mfull to a compactly stored version
// mcmpct
// First lb columns padding for later use
// Next lb columns for lower diagonals
// Next column for diagonal
// Next ub columns for upper diagonals
// as the highest upper diagonal of the same row
const int mm = 2*lb+ub+1;
double mcmpct[n][mm];
zero(&mcmpct[0][0], n*mm);
for(int i = 0; i < n; i++)
for(int j = MAX(i-lb, 0); j < MIN(i+ub+1, n); j++)
mcmpct[i][j-i+lb+lb] = me[i][j];
// Replace unused values with NAN to be sure they aren't used
for(int k = 0; k < n; k++)
for(int i = 0; i < lb; i++)
mcmpct[k][i] = NAN;
for(int k = 0; k < lb; k++)
for(int i = 0; i < lb-k; i++)
mcmpct[k][i+lb] = NAN;
for(int k=n-1; k >= n-ub; k--)
for(int i = n-1-k+1+lb; i < mm; i++)
mcmpct[k][i+lb] = NAN;
// Generate start vector x1 for test
VEC *x1 = v_get(n);
randlist(x1->ve, n);
// Calculate mfull*x1 = dfull
VEC *dfull = v_get(n);
mv_mlt(mfull, x1, dfull);
// Calculate mcmpct*x1 = dcmpct
double dcmpct[n];
bdspecLUmlt(&mcmpct[0][0], n, lb, ub, x1->ve, dcmpct);
if(dumpfull) {
printf("Vector x (random values)\n");
printf("========================\n");
v_out(x1->ve, n);
printf("Matrix A (random values)\n");
printf("========================\n");
printf("Full NxN Meschach Matrix\n");
m_out(mfull->base, n, n);
printf("Compact bdspec Array\n");
m_out(&mcmpct[0][0], n, mm);
printf("Vector d = A*x\n");
printf("==============\n");
printf("Calculated from Full Meschach Matrix:\n");
v_out(dfull->ve, n);
printf("Calculated from Compact bdspec Array:\n");
v_out(dcmpct, n);
printf("L2 norm of difference between Meschach and bdspec calculations of d\n");
}
double ddiff = v_diff(dfull->ve, dcmpct, n);
printf("d diff=%6.0E ", ddiff);
if(ddiff*ddiff > DBL_EPSILON*v_normsq(dfull->ve, n))
printf("FAIL,");
else
printf("PASS,");
PERM *p = px_get(n);
LUfactor(mfull, p);
int indx[n];
bdspecLUfactormeschscale(&mcmpct[0][0], n, lb, ub, indx);
VEC *yfull = v_get(n);
catchall(LUsolve(mfull, p, dfull, yfull), printf("--matrix singular--:\n"));
double ycmpct[n];
for(int i = 0; i < n; i++)
ycmpct[i] = dcmpct[i];
bdspecLUsolve(&mcmpct[0][0], n, lb, ub, indx, ycmpct);
if(dumpfull) {
printf("\n\n");
printf("LU Factorization\n");
printf("================\n");
printf("Meschach LU Array\n");
m_out(mfull->base, n, n);
printf("Compact bdspec LU Array\n");
m_out(&mcmpct[0][0], n, mm);
printf("Permutation\n");
printf("===========\n");
printf("Meschach permutation vector\n");
p_out((int *) p->pe, n);
printf("bdspec indx vector\n");
p_out(indx, n);
printf("A*y = d Solved for y\n");
printf("====================\n");
printf("Meschach result\n");
v_out(yfull->ve, n);
printf("bdspec result\n");
v_out(ycmpct, n);
printf("L2 norm of difference between Meschach and bdspec calculations of y:\n");
}
double ydiff = v_diff(yfull->ve, ycmpct, n);
printf("y diff=%6.0E ", ydiff);
if(ydiff*ydiff > DBL_EPSILON*v_normsq(yfull->ve, n))
printf("FAIL,");
else
printf("PASS,");
if(dumpfull) {
printf("\n\n");
printf("L2 norm of error = y-x\n");
printf("======================\n");
}
double x1normsq = v_normsq(x1->ve, n);
double mescherr = v_diff(yfull->ve, x1->ve, n);
printf("mesch err=%6.0E ", mescherr);
if(mescherr*mescherr > DBL_EPSILON*x1normsq)
printf("FAIL,");
else
printf("PASS,");
double bdspecerr = v_diff(ycmpct, x1->ve, n);
printf("bdspec err=%6.0E ", bdspecerr);
if(bdspecerr*bdspecerr > DBL_EPSILON*x1normsq)
printf("FAIL ");
else
printf("PASS ");
if(dumpfull) {
printf("\n\n");
}
fflush(stdout);
}