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International Journal of Antennas and Propagation
Volume 2014, Article ID 501478, 10 pages
Research Article

Computationally Efficient DOA Tracking Algorithm in Monostatic MIMO Radar with Automatic Association

1College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
2Laboratory of Modern Acoustic of Ministry of Education, Nanjing University, Nanjing 210093, China

Received 16 March 2014; Revised 23 May 2014; Accepted 10 June 2014; Published 3 July 2014

Academic Editor: Frankie KitWing Chan

Copyright © 2014 Huaxin Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We consider the problem of tracking the direction of arrivals (DOA) of multiple moving targets in monostatic multiple-input multiple-output (MIMO) radar. A low-complexity DOA tracking algorithm in monostatic MIMO radar is proposed. The proposed algorithm obtains DOA estimation via the difference between previous and current covariance matrix of the reduced-dimension transformation signal, and it reduces the computational complexity and realizes automatic association in DOA tracking. Error analysis and Cramér-Rao lower bound (CRLB) of DOA tracking are derived in the paper. The proposed algorithm not only can be regarded as an extension of array-signal-processing DOA tracking algorithm in (Zhang et al. (2008)), but also is an improved version of the DOA tracking algorithm in (Zhang et al. (2008)). Furthermore, the proposed algorithm has better DOA tracking performance than the DOA tracking algorithm in (Zhang et al. (2008)). The simulation results demonstrate effectiveness of the proposed algorithm. Our work provides the technical support for the practical application of MIMO radar.