ICASSP 2017accepted0 citations

Effective estimation of the desired-signal subspace and its application to robust adaptive beamforming

Zhenyu Zhang, Wen Leng, Anguo Wang, Wei Liu, Heping Shi

Abstract

An effective method is proposed to estimate the desired-signal (S) subspace by the intersection between the signal-plus-interference (SI) subspace and a reference space covering the angular region where the desired signal is located. The estimated S subspace is robust to steering vector mismatch and overestimation of the SI subspace, capable of detecting the relative strength of the desired signal. And even the basis of the estimated S subspace can serve as an effective estimation of the steering vector of the desired signal. With these properties, the estimated S subspace can help to select a more accurate narrow area for searching for the steering vector of the desired signal in mismatch cases. The proposed method is applied for robust adaptive beamforming with an improved performance, as demonstrated by simulation results.

BibTeX
@inproceedings{icassp2017_effectiveestimat,
  title = {Effective estimation of the desired-signal subspace and its application to robust adaptive beamforming},
  author = {Zhenyu Zhang and Wen Leng and Anguo Wang and Wei Liu and Heping Shi},
  booktitle = {ICASSP 2017},
  year = {2017}
}
Effective estimation of the desired-signal subspace and its application to robust adaptive beamforming · ICASSP 2017