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A Robust Beamformer Based on Weighted Sparse Constraint

Information Theory 2010-05-25 v1 math.IT

Abstract

Applying a sparse constraint on the beam pattern has been suggested to suppress the sidelobe level of a minimum variance distortionless response (MVDR) beamformer. In this letter, we introduce a weighted sparse constraint in the beamformer design to provide a lower sidelobe level and deeper nulls for interference avoidance, as compared with a conventional MVDR beamformer. The proposed beamformer also shows improved robustness against the mismatch between the steering angle and the direction of arrival (DOA) of the desired signal, caused by imperfect estimation of DOA.

Keywords

Cite

@article{arxiv.1005.4200,
  title  = {A Robust Beamformer Based on Weighted Sparse Constraint},
  author = {Yipeng Liu and Qun Wan and Xiaoli Chu},
  journal= {arXiv preprint arXiv:1005.4200},
  year   = {2010}
}

Comments

4 pages, 2 figures

R2 v1 2026-06-21T15:26:41.517Z