Applying Adaptive Estimator to Maneuvering Tracking System

[[abstract]]An approach of tracking multiple maneuvering targets using an adaptiveEstimator is developed in this paper. With the developed algorithm, the systemwill improve the tracking accuracy and reliability of radar surveillance. Targetmaneuvering situations are usually existed in radar tracking systems and themaneuvering will cause severe tracking errors. Therefore accurately detectingand estimating maneuvering status of targets is one essential step in thereduction of tracking errors. In this paper, an equivalent filter bank structureis designed to estimate the status of target maneuvering situations. Moreover,an adaptive procedure is applied in this algorithm to obtain faster response fortrack filters. In order to achieve the optimal correlation between measurementsand the existing targets, a data, association technique denoted 1-stepconditional maximum likelihood is applied in this system. Based on thisapproach, we can solve the maneuvering and data association problemssimultaneously