Investigation on Sparse Controllable Adaptive Beamforming for Irregular Arrays

被引：0
作者：
Shi, Wanlu [1 ]
Li, Yingsong [1 ,2 ]
Zhao, Luyu [3 ]
机构：
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China
[2] Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China
[3] Xidian Univ, Natl Key Lab Antennas & Microwave Technol, Xian 710071, Peoples R China
来源：
2018 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM IN CHINA (ACES-CHINA 2018) | 2018年
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
l(0)-norm; sparse controllable array; constrained NLMS algorithm; adaptive beamforming; LMS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
An l(0)-norm constrained normalized LMS algorithm (l(0)-CNLMS) is utilized to realize sparse controllable adaptive array beamforming. The l(0)-CNLMS algorithm exerts an l(0)-norm penalty on the filter coefficients of the constrained normalized LMS algorithm, aiming to put the solution towards sparsity. By introducing the l(0)-norm constraint, the effective elements used in the array can be effectively controlled to a certain number. Approximating l(0)-norm implementation method is considered to reduce the computation burden. Simulations are carried out to prove that the l(0)-CNLMS algorithm is valid for sparse adaptive array beamforming as well as controlling the amounts of effective antennas.
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页数：2
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