Abstract

It is difficult to track multiple maneuvering targets in clutter due to the uncertain acceleration and the disturbance of the clutter. Taking these into account, a strong tracking modified input estimation (STMIE) is presented in this paper, which is combined with maximum entropy fuzzy joint probabilistic data association for multiple maneuvering target tracking. Strong tracking multiple fading factors are introduced in order to enhance the tracking performance of MIE for high maneuvering targets. 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. Simulations show the effectiveness of the proposed method for the cross and high maneuvering target tracking. Compared with the conventional current statistical model (CS) combined with maximum entropy fuzzy joint probabilistic data association, the proposed algorithm has higher tracking accuracy and good engineering application prospect.

Key words: Multiple maneuvering target tracking, data association, strong tracking filter, modified input estimation, multiple fading factor.