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Journal of Electrical and Computer Engineering
Volume 2015, Article ID 583075, 6 pages
Research Article

Low-Complexity Robust Capon Beamforming Based on Reduced-Rank Technique

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 21 October 2014; Revised 28 December 2014; Accepted 30 December 2014

Academic Editor: Muhammad Taher Abuelma’atti

Copyright © 2015 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 robust Capon beamformers achieve robustness against steering vector errors at a high cost in terms of computational complexity. Computationally efficient robust Capon beamforming approach based on the reduced-rank technique is proposed in this paper. The proposed method projects the received data snapshots onto a lower dimensional subspace consisting of the matched filters of the multistage Wiener filter (MSWF). The subsequent adaptive beamforming will then be performed within this subspace. The combination of the benefit of the robust adaptive beamforming and the reduced-rank technique improves the performance on combating steering vector errors and lowering the computational complexity.