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A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION
| Content Provider | CiteSeerX |
|---|---|
| Author | Shi, Yunmei Huang, Lei Qian, Cheng Wang, Yonghua Xie, Weixin So, H. C. |
| Abstract | A variant of adaptive worst-case (WC) beamformer is de-vised in this paper, which is robust against arbitrary unknown signal steering vector (SSV) mismatches. Compared with the conventional WC beamforming approach, the proposed method is further improved in terms of robustness by recon-structing the interference-plus-noise covariance matrix (IN-CM) and adaptively adjusting the uncertainty level of the SSV errors. In particular, the INCM is obtained by using the Capon spatial spectrum as the power distribution, and then the un-certainty level is estimated by maximizing the output power. Simulation results are included to illustrate the superiority of the proposed method. Index Terms — Worst-case, robust beamforming, signal steering vector mismatch, uncertainty level, Capon spatial spectrum. 1. |
| File Format | |
| Access Restriction | Open |
| Content Type | Text |
