The modified input estimation (MIE) has been introduced recently and it provides fast initial convergence rate as well as satisfactory tracking performance in low and medium maneuvering target cases. Unfortunately, it fails to track a high maneuvering target accurately due to modeling errors relating to the target acceleration dynamics. In this paper, an improvement on the MIE is proposed for maneuvering target tracking. With the advantage of reduced sensitivity to modeling errors, a set of fading memory is selected to indicate different maneuver levels. The proposed method jumps between these different fading memories according to a Markov chain. Therefore, it can assign different fading memories different weights in different stages of the target motion to compensate for the influence of model errors. Experimental results show that the proposed method has more efficiency in tracking a maneuvering target than the MIE with conventional fading memory and the simple MIE.
Key words: Modified input estimation, fading memory, interacting multiple model, maneuvering target tracking.
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