A weighted sparse constraint Capon beamforming algorithm

Yongxin DU; Xin MA; Baoshan LI; Ling QIN

doi:10.11959/j.issn.1000-0801.2018019

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A weighted sparse constraint Capon beamforming algorithm

Research and development | 更新时间：2024-06-05

- A weighted sparse constraint Capon beamforming algorithm
- Telecommunications Science Vol. 34, Issue 3, Pages: 112-118(2018)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2018019
  CLC： TN911.7
- Published Online：2018-03，
  
  Published：20 March 2018
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Yongxin DU, Xin MA, Baoshan LI, et al. A weighted sparse constraint Capon beamforming algorithm[J]. Telecommunications science, 2018, 34(3): 112-118.
DOI：

Yongxin DU, Xin MA, Baoshan LI, et al. A weighted sparse constraint Capon beamforming algorithm[J]. Telecommunications science, 2018, 34(3): 112-118. DOI： 10.11959/j.issn.1000-0801.2018019.

摘要

针对Capon波束成形器旁瓣较高及零陷不深的问题，对降低旁瓣及零陷的方法进行了研究，提出了一种加权稀疏约束Capon波束成形算法。首先利用旁瓣阵列流型矩阵与协方差矩阵的相关运算，得到干扰和噪声能量在不同方向的粗略后验分布情况，其次根据得到的结果对不同的方向加权不同的值，并对干扰进行约束。仿真结果表明，该算法有效降低了波束图的旁瓣及零陷深度，增加了抑制噪声及抗干扰的能力，且在期望信号误差和阵列误差情况下均保持较好的顽健性。

Abstract

Aiming at the problem of high sidelobes and nulls was not deep of Capon beamformer

the methods of reducing sidelobes and nulls were studied

a weighted sparse constraint Capon beamforming algorithm was proposed.Firstly

using the correlation operation of sidelobe array manifold matrix and the covariance matrix obtained the interference and noise energy were roughly posterior distribution in different directions.Then

different values were weighted in different directions according to the results

and restrained the interference.Simulation results show that the approach can reduce the sidelobes and deepen the null to fall the depth of the beam pattern

and improve the ability of suppress noise and interference.The proposed method is robust to both expected and array errors.

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references

TUNA C ， ZHAO S K , NGUYEN T , et al . Drive-by large-region acoustic noise-source mapping via sparse beamforming tomography [J ] . Journal of the Acoustical Society of America , 2016 , 140 ( 4 ): 2530 - 2541 .

ARIFFIN W ， ZHANG X R , NAKHAI M R . Sparse beamforming for real-time resource management and energy trading in green C-RAN [J ] . IEEE Transactions on Smart Grid , 2017 , 8 ( 4 ): 2022 - 2031 .

DIPPEL G ， CHMIELEWSKI W , MUECKSCHEL M , et al . Response mode-dependent differences in neurofunctional networks during response inhibition:an EEG-beamforming study [J ] . Brain Structure ＆ Function , 2016 , 221 ( 8 ): 4091 - 4101 .

张小飞 . 阵列信号处理及MATLAB实现 [M ] . 北京 : 电子工业出版社， 2015 .

ZHANG X F . Array signal processing and MATLAB realization [M ] . Beijing : Publishing House of Electronics Industry , 2015 .

CAPON J . High-resolution frequency-wavenumber spectrum analysis [J ] . Proceedings of the IEEE , 1969 , 57 ( 8 ): 1408 - 1418 .

XU Z , ZAKHAROV Y . Modified null broadening adaptive beamforming:constrained optimisation approach [J ] . Electronics Letters , 2007 , 43 ( 3 ): 145 - 146 .

LI W , MAO X , ZHAI Z . Null broadening beamforming against steering vector mismatch [J ] . Journal of Harbin Institute of Technology , 2016 , 48 ( 11 ): 116 - 122 .

SHEN F , CHEN F , SONG J . Robust Adaptive Beamforming Based on Steering Vector Estimation and Covariance Matrix Reconstruction [J ] . IEEE Communications Letters , 2015 , 19 ( 9 ): 1636 - 1639 .

ZHANG Y , NG B P , WAN Q . Sidelobe suppression for adaptive beamforming with sparse constraint on beam pattern [J ] . Electronics Letters , 2008 , 44 ( 10 ): 610 - 615 .

ANDRADE J F , CAMPOS M , APOLINARIO J A . L-1-constrained normalized LMS algorithms for adaptive beamforming [J ] . IEEE Transactions on Signal Processing , 2015 , 65 ( 24 ): 6524 - 6539 .

LIU Y P , WAN Q , CHU X . A robust beamformer based on weighted sparse constraint [J ] . Progress In Electromagnetics Research Letters , 2010 ( 16 ): 53 - 60 .

汪小叶，阳召成，黄建军，等 . 脉冲噪声下加权稀疏约束稳健波束成形方法 [J ] . 信号处理， 2017 ( 3 ): 288 - 293 .

WANG X Y , YANG Z C , HUANG J J , et al . Robust beamforming method with weighted sparse constraintsin impulsive noise [J ] . Signal Process , 2017 , 33 ( 3 ): 288 - 293 .

蒋曦曦，吴瑛 . 一种稳健的稀疏约束Capon波束成形算法 [J ] . 太赫兹科学与电子信息学报， 2015 , 13 ( 11 ): 130 - 134 .

JIANG X X , WU Y . A sparse robust Capon beamforming algorithm [J ] . Journal of Terahertz Science and Electronic Information Technology , 2015 , 13 ( 11 ): 130 - 134 .

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