An optimal integrated tracking (ITS) for passive DOA tracking using unscented Kalman filter

Abstract

In this paper, a new algorithm is presented to adaptively estimate the direction of arrivals (DOAs) of multiple moving targets when linear equispaced sensor array is used for making the measurements. This algorithm is based on an extension of differential MUSIC method. It can also discriminate sources and their multi-paths. The results obtained by this algorithm are then applied as input to a nonlinear state linear measurements unscented Kalman filter. The unscented Kalman filter is also adapted to maneuver the target tracking. This algorithm gives 50 percent reduction in the computation and memory requirements over an unscented filter based tracker.