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Journal of Electrical and Computer Engineering
Volume 2014, Article ID 195650, 8 pages
Research Article

Joint DOA and DOD Estimation in Bistatic MIMO Radar without Estimating the Number of Targets

1School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
2School of Information Science and Engineering, Hunan International Economics University, Changsha 410205, China

Received 18 August 2014; Accepted 22 November 2014; Published 9 December 2014

Academic Editor: Sven Nordholm

Copyright © 2014 Zaifang Xi 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.


Existing subspace-based direction finding methods for multiple-input multiple-output (MIMO) radar assume perfect knowledge about the dimension of the signal or noise subspace, which is hard to be established without prior knowledge of the signal environment. In this paper, an efficient method for joint DOA and DOD estimation in bistatic MIMO radar without estimating the number of targets is presented. The proposed method computes an estimate of the noise subspace using the power of R (POR) technique. Then the two-dimensional (2D) direction finding problem is decoupled into two successive one-dimensional (1D) angle estimation problems by employing the rank reduction (RARE) estimator.