diff options
Diffstat (limited to 'src')
| -rwxr-xr-x | src/kalman/kalman.5c | 30 | 
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 | 
