Target Tracking By Adaptive EKF Using Fast Genetic Algorithm
نویسندگان
چکیده
It is known that the Kalman filter estimation performance heavily depends on the statistical parameters to both the dynamic and observation models, especially the covariance matrix Q. This paper presents a fast genetic algorithm (GA) to adapt extended Kalman filter (EKF) for real time tracking. In the proposed method, the covariance matrix Q can be real-time adjusted by GA to meet some specifications. The simulation results demonstrate that the adaptive EKF is capable of tracking maneuvering targets and reducing the bias and variance of error tracking remarkably. KeywordsAdaptive Extended Kalman Filter; Maneuver Target Tracking; Fast Genetic Algorithm.
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