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-rwxr-xr-xsrc/kalman/kalman.5c30
1 files changed, 10 insertions, 20 deletions
diff --git a/src/kalman/kalman.5c b/src/kalman/kalman.5c
index cfb7abea..46fa8e1f 100755
--- a/src/kalman/kalman.5c
+++ b/src/kalman/kalman.5c
@@ -55,6 +55,12 @@ real default_σ_m = 5;
real default_σ_h = 20;
real default_σ_a = 2;
+real[3,3] model_error(t, Φ) = multiply_mat_val ((real[3,3]) {
+ { t**5 / 20, t**4 / 8, t**3 / 6 },
+ { t**4 / 8, t**3 / 3, t**2 / 2 },
+ { t**3 / 6, t**2 / 2, t }
+ }, Φ);
+
parameters_t param_both(real t, real σ_m, real σ_h, real σ_a) {
if (σ_m == 0)
σ_m = default_σ_m;
@@ -87,11 +93,7 @@ parameters_t param_both(real t, real σ_m, real σ_h, real σ_a) {
* Model error covariance. The only inaccuracy in the
* model is the assumption that acceleration is constant
*/
- .q = (real[3,3]) {
- { 0, 0, 0 },
- { 0, 0, 0 },
- {.0, 0, σ_m**2 },
- },
+ .q = model_error (t, σ_m**2),
/*
* Measurement error covariance
* Our sensors are independent, so
@@ -140,11 +142,7 @@ parameters_t param_baro(real t, real σ_m, real σ_h) {
* Model error covariance. The only inaccuracy in the
* model is the assumption that acceleration is constant
*/
- .q = (real[3,3]) {
- { 0, 0, 0 },
- { 0, 0, 0 },
- {.0, 0, σ_m**2 },
- },
+ .q = model_error (t, σ_m**2),
/*
* Measurement error covariance
* Our sensors are independent, so
@@ -191,11 +189,7 @@ parameters_t param_accel(real t, real σ_m, real σ_a) {
* Model error covariance. The only inaccuracy in the
* model is the assumption that acceleration is constant
*/
- .q = (real[3,3]) {
- { 0, 0, 0 },
- { 0, 0, 0 },
- {.0, 0, σ_m**2 },
- },
+ .q = model_error (t, σ_m**2),
/*
* Measurement error covariance
* Our sensors are independent, so
@@ -236,11 +230,7 @@ parameters_t param_vel(real t) {
* Model error covariance. The only inaccuracy in the
* model is the assumption that acceleration is constant
*/
- .q = (real[3,3]) {
- { 0, 0, 0 },
- { 0, 0, 0 },
- {.0, 0, σ_m**2 },
- },
+ .q = model_error (t, σ_m**2),
/*
* Measurement error covariance
* Our sensors are independent, so