Vol. 43

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2013-08-23

A Robust Direct Data Domain Least Squares Beamforming with Sparse Constraint

By Ping Zhang, Jun Li, Ai Zhi Zhou, Hong Bo Xu, and Jian Bi
Progress In Electromagnetics Research C, Vol. 43, 53-65, 2013
doi:10.2528/PIERC13052605

Abstract

A robust direct data domain least squares (D3LS) beamforming algorithm that is capable of reducing the sidelobe level of the beam pattern is presented. By exploiting the sparsity of the desired beam pattern, the proposed method can enhance the performance with its lower sidelobe level and deeper null for interference while the robustness against steering vector mismatch is increased when a proper regularization parameter is selected. Simulation results demonstrate the effectiveness of the proposed method.

Citation


Ping Zhang, Jun Li, Ai Zhi Zhou, Hong Bo Xu, and Jian Bi, "A Robust Direct Data Domain Least Squares Beamforming with Sparse Constraint," Progress In Electromagnetics Research C, Vol. 43, 53-65, 2013.
doi:10.2528/PIERC13052605
http://jpier.org/PIERC/pier.php?paper=13052605

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