Distributed Array Unscented Information Filter for Moving Target DOA Tracking

Abstract

Direction of arrival (DOA) tracking on multiple moving targets in the far field for distributed sensor arrays is an important research direction. The results of multi-node DOA estimation are usually directly fused in the face of different signal-to-noise ratios (SNR) of each node, which will lead to deterioration of estimation performance. This paper proposes a DOA tracking algorithm for information fusion between distributed array nodes. Firstly, the unscented information filtering results, including status vectors and information matrices, are presented at each node. Then, by using the average consensus (AC) algorithm, the status vector and information matrix of each node are fused to provide a DOA fusion result, which fully considers the accuracy of each node. Theoretical analysis and numerical simulation results show that the algorithm has low computational complexity and can achieve good and robust DOA tracking performance at low SNRs.