Abstract
The performance of maneuvering target tracking relies on the extraction of useful information about the target state from the observations, and the key factors focus on the suitable target models and the filters. A usable maneuvering target tracking technique is proposed in this paper. The line-of-sight (LOS) dynamic equations of interceptor–target are modified for the target model and the azimuth angle, elevation angle and the relative range between the radar and the target can be detected by the radar system fixed on the ground. A fuzzy input estimator based on Kalman filter and input estimation method is developed in which the fuzzy logic theory is used to accelerate the estimator tracking speed to the signal input. Three different filters are used to combine with the modified LOS target model for the verification and comparison. Besides, the proposed algorithm is compared with two different target tracking techniques. Simulation results prove the modified LOS target model is practical and the developed fuzzy input estimator can increase the estimation precision. The proposed algorithm has the least estimation error of target position compared with the other two different target tracking techniques.
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