Fuzzy Kalman Filter Based on Genetic Algorithm Used in Maneuvering Target Tracking

Duan Fang-fang, Han Xing · Modern Radar · 2006

Because the Kalman filter′s performance may be seriously degraded in the presence of a manoeuvre,this paper proposes a new KF based on GA and fuzzy system.The unknown target acceleration is regarded as additive process noise,and the time-varying variance of the overall process noise is computed with a fuzzy system,and GA is used to optimize it.The performance of the proposed GA-based FKF is compared with interacting multiple model methods through simulations.

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