Constant Velocity Model Kalman Filter Simulation
2016-08-23
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Kalman algorithm is easy to understand the Kalman algorithm & nbsp; the flow of Kalman filtering algorithm is as follows: & nbsp; estimate x (k) ^ = f (k, k-1) · x (k-1) & nbsp; calculate the pre estimate covariance matrix C (k) ^ = f (k, k-1) × C (k, k-1) × C (k, k-1) × C (K (k, k-1) × f (k, k-1) & nbsp; estimate x (K (k) ^ = f (k, K (k, k-1) ^ = f (k, K (k, k-1) × t (k, the flow of Kalman filter; calculate the Kalman gain matrix K; calculate the Kalman gain matrix K (K; calculate the Kalman gain matrix K (k) for the Kalman gain matrix K (K (k) of the Kalman gain matrix; calculate the Kalman gain matrix K (K (k) = C (K (K (k) = C (K (k) (k) (k) (k) (k) (k) (k)) (K) '
matlab
滤波
卡尔曼
仿真
模型
恒速
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