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#include "scalar_kalman.h"
/**
* 状态方程: x = A*x + w; w~N(0,Q)
* 测量方程: y = C*x + v; v~N(0,R)
*/
float scalar_kalman(scalar_kalman_t *kalman, float y)
{
// 状态预测
kalman->x = kalman->A * kalman->x;
// 误差协方差预测
kalman->P = kalman->A2 * kalman->P + kalman->Q;
// 计算卡尔曼滤波增益
kalman->K = kalman->P * kalman->C / (kalman->C2 * kalman->P + kalman->R);
// 状态估计校正
kalman->x = kalman->x + kalman->K * (y - kalman->C * kalman->x);
// 误差协方差估计校正
kalman->P = (1 - kalman->K * kalman->C) * kalman->P;
return kalman->C * kalman->x; // 输出滤波后的y
}
void scalar_kalman_init(scalar_kalman_t *kalman, float A, float C, float Q, float R)
{
kalman->A = A;
kalman->A2 = A * A;
kalman->C = C;
kalman->C2 = C * C;
kalman->Q = Q;
kalman->R = R;
kalman->x = 0;
kalman->P = Q;
kalman->K = 1;
}
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