Open AccessA Sparsity-constraint Capon Beamforming Algorithm
Author(s) -
Wenjing Wang,
Hongyu Zhao,
Ying Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1288/1/012029
Subject(s) - capon , beamforming , algorithm , constraint (computer aided design) , minimum variance unbiased estimator , computer science , signal (programming language) , mathematics , telecommunications , statistics , geometry , mean squared error , programming language
In the presence of the steering vector of the signal of interest mismatches, nulls are formed in the direction of the signal of interest, which affects the performance of the beamforming. In this paper, a sparsity-constraint Capon beamforming based on iterative robust minimum variance beamforming is proposed. Using iteractive robust minimum variance beamforming, the mismatched steering vector is corrected. To achieve sidelobe level and suppress iterference, sparse constraints on beam response is added in the angel of sidelobe domain. Computer simulations have been conducted to verify validity and superiority of the proposed algorithm. It is shown that in the presence of mismatched steering vector, the proposed algorithm is more robust and has lower sidelobe level than the existing methods.