An Adaptive Tracking Algorithm Based on Kalman Filter

Concerning the problem of the low accuracy,even lost the target when the Kalman filter is applied under the target swerving condition,the paper mended the Kalman filter and introduced two error variables of acceleration for modifiying the state estimation,then generated a new modified Kalman algorithm.But because the state variable dimension increases,the computation quantity also correspondingly increases.In order to satisfy the timeliness,the paper improved the adaptive tracking algorithm by combining both the Kalman filter algorithm and modified Kalman filter algorithm.The simulation result shows that the adaptive tracking algorithm based on Kalman filter has a favorable stability and accuracy.