Sidelobe Suppression for Robust Beamformer Via the Mixed Norm Constraint

Authors:
Yipeng Liu;Qun Wan
Affiliations:
Electronic Engineering Department, University of Electronic Science and Technology of China, Chengdu, China 611731;Electronic Engineering Department, University of Electronic Science and Technology of China, Chengdu, China 611731
Venue:
Wireless Personal Communications: An International Journal
Year:
2012

Citing 5
Cited 0

On the reconstruction of block-sparse signals with an optimal number of measurements

IEEE Transactions on Signal Processing
Performance analysis of the minimum variance beamformer

IEEE Transactions on Signal Processing
Quadratically Constrained Beamforming Robust Against Direction-of-Arrival Mismatch

IEEE Transactions on Signal Processing
Doubly constrained robust Capon beamformer

IEEE Transactions on Signal Processing
Subset selection in noise based on diversity measure minimization

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Applying a sparse constraint on the beam pattern has been suggested to suppress the sidelobe of the minimum variance distortionless response (MVDR) beamformer recently. To further improve the performance, we add a mixed norm constraint on the beam pattern. It matches the beam pattern better and encourages dense distribution in mainlobe and sparse distribution in sidelobe. The obtained beamformer has a lower sidelobe level and deeper nulls for interference avoidance than the standard sparse constraint based beamformer. Simulation demonstrates that the SINR gain is considerable for its lower sidelobe level and deeper nulling for interference, while the robustness against the mismatch between the steering angle and the direction of arrival (DOA) of the desired signal, caused by imperfect estimation of DOA, is maintained too.