An Intelligent Self-Tuning Approach for High Maneuvering Target Tracking

In this paper an intelligent self-tuning approach for high maneuvering target tracking is proposed. Recently, a new modified input estimation (MIE) method has been introduced. Although this method represents satisfactory performance in low and mild maneuvering situations, its ability to track the high maneuvering targets is still unacceptable. In this study we present an intelligent self-tuning approach based on a fuzzy forgetting factor in order to enjoy satisfactory tracking performance in low, Medium and high maneuvering target cases. Simulation results show the efficiency of the proposed method in comparison with the simple MIE.