An innovative fuzzy covariance presetting for high maneuvering target tracking problems

This paper deals with a new covariance presetting scheme is presented to overcome some drawbacks of the high maneuvering target tracking problems by using the fuzzy logic method for evaluating the elements of the covariance matrix presetting. This scheme includes an estimation part that uses a modified Kalman filter and a fuzzy logic part to improve the tracking performance of the high maneuvering targets. The fuzzy part is designed based on deviation of last target direction. The result is compared with the conventional covariance matrix presetting method. Simulation results show a superior performance of the proposed covariance presetting when a target either moves with high maneuver or with constant velocity.