Name
Abstract | ||
|---|---|---|
A new approach to the design of robust adaptive beamforming is introduced. In the proposed approach, the mismatch vector of the desired steering vector is estimated by solving a quadratically constrained quadratic programming problem using an interference-plus-noise subspace projection matrix. The presumed look direction of desired signal is the only prior information of the proposed approach, and the parameters of uncertainty set or the angular sectors of the desired signal are not needed. In the presence of large DOA mismatch, the proposed beamformer performs well. Moreover, the proposed approach can deal with arbitrary steering vector mismatch in theory while many existing advanced robust beamformers cannot. Hence, it is very suitable for many practical applications. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.sigpro.2013.03.015 | Signal Processing |
Keywords | Field | DocType |
new steering vector estimation,mismatch vector,robust adaptive beamforming,existing advanced robust beamformers,proposed beamformer,large doa mismatch,interference-plus-noise subspace projection matrix,angular sector,arbitrary steering vector mismatch,new approach,robustness,adaptive beamforming | Mathematical optimization,Quadratic growth,Adaptive beamformer,Subspace topology,Control theory,Algorithm,Projection (linear algebra),Robustness (computer science),Quadratic programming,Mathematics | Journal |
Volume | Issue | ISSN |
93 | 9 | 0165-1684 |
Citations | PageRank | References |
16 | 0.89 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weimin Jia | 1 | 107 | 11.20 |
| Wei Jin | 2 | 16 | 0.89 |
| Shuhua Zhou | 3 | 16 | 0.89 |
| Minli Yao | 4 | 222 | 17.30 |