Sparse Controllable Adaptive Array Beamforming with Improved Array Element Utilization

被引:0
|
作者
Shi, Wanlu [1 ]
Li, Yingsong [1 ,2 ]
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
来源
2018 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP) | 2018年
基金
中国博士后科学基金;
关键词
l(0)-norm; sparse controllable array; constrained NLMS algorithm; adaptive beamforming; ALGORITHM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An l(0)-norm constrained normalized LMS algorithm (L-0-CNLMS) is proposed to implement sparse controllable adaptive antenna array beamforming. The proposed L-0-CNLMS algorithm exerts an l(0)-norm penalty on the filter coefficients based on the constrained NLMS (CNLMS) algorithm, which aims to put the solution towards sparsity. By introducing the l(0)-norm constraint into the quantities of antenna elements in using, the beam of the array can be controlled to a certain degree. To reduce the computation burden, an approximating l(0)-norm realization method is utilized. The simulation experiments are created to prove that the L-0-CNLMS algorithm is effective in sparse adaptive array beamforming as well as controlling the amount of antenna elements.
引用
收藏
页数:2
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