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

Existing robust Capon beamformers achieve robustness against steering vector errors at a high costin terms of computational complexity. Computationally efficient robust Capon beamforming approachbased on the reduced-rank technique is proposed in this paper. The proposed method projects thereceived d...

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Bibliographic Details
Published in:Journal of electrical and computer engineering 2015-01, Vol.2015 (2015), p.1-6
Main Authors: Zhi-jun, Tang, Wu, Shuyue, Wu, Xiao-feng, Xi, Zai-fang, Shi-gang, Hu
Format: Article
Language:English
Subjects:
Beamforming
Complexity
Computation
Computational efficiency
Errors
Mathematical analysis
Noise
Science
Sensors
Steering
Subspaces
Vectors (mathematics)
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Summary:Existing robust Capon beamformers achieve robustness against steering vector errors at a high costin terms of computational complexity. Computationally efficient robust Capon beamforming approachbased on the reduced-rank technique is proposed in this paper. The proposed method projects thereceived data snapshots onto a lower dimensional subspace consisting of the matched filters of themultistage Wiener filter (MSWF). The subsequent adaptive beamforming will then be performed withinthis subspace. The combination of the benefit of the robust adaptive beamforming and the reduced-ranktechnique improves the performance on combating steering vector errors and lowering the computationalcomplexity.
ISSN:2090-0147
2090-0155
DOI:10.1155/2015/583075