High maneuvering target-tracking based on strong tracking modified input estimation

When tracking a high maneuvering target, the sudden changes of target states may cause a serious decline or even divergence in the performance of the conventional modified input estimation (MIE) technique. Taking this into account, in this paper, strong tracking filter multiple fading factors are introduced in order to enhance the tracking performance of MIE for high maneuvering targets. As the prediction covariance can be adjusted in real time by the multiple time-varying fading factors and the different data channels are faded at different rates, this algorithm keeps a good tracking performance in low, medium and high maneuvering target cases. Simulations show the effectiveness of the proposed method. Compared with the Fuzzy adaptive MIE algorithm, this algorithm has a higher tracking accuracy and a better real-time performance.