Computer Science – Information Theory
Scientific paper
2010-05-23
Computer Science
Information Theory
4 pages, 2 figures
Scientific paper
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.
Chu Xiaoli
Liu Yipeng
Wan Qun
No associations
LandOfFree
A Robust Beamformer Based on Weighted Sparse Constraint does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Robust Beamformer Based on Weighted Sparse Constraint, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Robust Beamformer Based on Weighted Sparse Constraint will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-590913