一种模糊推理强机动目标跟踪新算法

doi:10.3969/j.issn.1001-2400.2011.02.013

Abstract

Abstract:

When tracking high maneuvering targets, the sudden changes of target states may cause serious decline and even divergence in the performance of conventional modified input estimation(MIE) algorithms. Taking this into account, this paper presents a novel adaptive tracking algorithm for high maneuvering targets. Fuzzy multiple modified factors are introduced on the basis of the MIE algorithm. Using the statistics residuals distance and the 2-norm of the acceleration vector as the input of the fuzzy controller, multiple modified factors are self-adapatively worked out to adjust predicted covariance, and the tracking capacity of this algorithm towards high maneuvering targets is improved. This algorithm also keeps a good performance for general uniform or low maneuvering targets. Simulation results obtained show the effectiveness of this algorithm. Compared with the constant factor MIE algorithm, this algorithm can lead to a higher estimation accuracy and a faster convergence speed.

Key words: target tracking, fuzzy reasoning, modified input estimation, modified factors

YANG Jinlong;JI Hongbing;FAN Zhenhua. Novel algorithm for high maneuvering target tracking based on fuzzy reasoning MIE[J].J4, 2011, 38(2): 72-76+128.

References

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Novel algorithm for high maneuvering target tracking based on fuzzy reasoning MIE

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