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

Abstract EN

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.