A Fixed-Lag Smoothing Interactive Multiple Model Tracking and Interception System for Maneuvering Target

Abstract

In this work, an improved interactive multiple model-based smoothing algorithm is proposed for tracking and interception of a maneuvering target. The smoothed states are obtained at some past scan ($$k-N$$), but the target interception happens at the current scan. This helps to obtain the real-time benefits of the smoothing. Fixed-lag smoothing interactive multiple model algorithm is employed to follow the target more precisely. Real-time benefit of smoothing is used to improve the decision making in order to achieve better target interception before it reaches its desired destination. Three different simulation environments have been used to analyze the performance and validity of the proposed algorithm. The simulation results are further extended to compare each case in terms of hit error and root-mean-square error.