Low-Complexity Robust Capon Beamforming Based on Reduced-Rank Technique
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 receive...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2015-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/583075 |
| Summary: | 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. |
|---|---|
| ISSN: | 2090-0147 2090-0155 |