Adaptive Beamforming With Compressed Sensing for Sparse Receiving Array

被引：27

作者：

Wang, Jian ^{[1
]}

Sheng, Wei-Xing ^{[1
]}

Han, Yu-Bing ^{[1
]}

Ma, Xiao-Feng ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2014年 / 50卷 / 02期

基金：

中国国家自然科学基金;

关键词：

SIGNAL RECONSTRUCTION; OPTIMIZATION; BEAMPATTERN; PROJECTIONS; ELEMENTS; MATRIX; DESIGN; NUMBER;

D O I：

10.1109/TAES.2014.120532

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

An adaptive digital beamforming technique with compressed sensing (CS) for sparse receiving arrays is proposed. Because of the angle sparseness of arriving signals, CS theory can be adopted to sample receiving signals. Then, receiving signals from absent elements on the antenna aperture can be reconstructed by using CS method. Adaptive digital beamforming algorithms are adopted to form antenna beam, whose main lobe is steered to the desired direction and nulls steered to the directions of interference.

引用

页码：823 / 833

页数：11

共 33 条

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