Robust Adaptive Beamforming Algorithm by Constraints on Magnitude Response

doi:10.7652/xjtuxb201404019

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Robust Adaptive Beamforming Algorithm by Constraints on Magnitude Response

更新时间：2025-04-29

- Robust Adaptive Beamforming Algorithm by Constraints on Magnitude Response
- Vol. 48, Issue 4, Pages: 109-114(2014)
- 作者机构：
  
  1. 第二炮兵工程大学907教研室,西安,710025
  2. 中国人民解放军96111部队, 715400, 陕西韩城
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201404019
  CLC： TN911.7
- Online First：10 April 2014，
  
  Published：2014
- 稿件说明：
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Robust Adaptive Beamforming Algorithm by Constraints on Magnitude Response[J]. 2014, 48(4): 109-114.
DOI：

Robust Adaptive Beamforming Algorithm by Constraints on Magnitude Response[J]. 2014, 48(4): 109-114. DOI： 10.7652/xjtuxb201404019.

摘要

针对大导向矢量失配误差造成传统自适应波束形成算法鲁棒性下降的问题

提出采用幅度响应约束的鲁棒自适应波束形成算法。该算法首先对接收数据协方差矩阵失配进行建模优化

然后根据已知的多径相干信号大致来波方向信息对波束主瓣进行幅度响应约束

并利用所提引理将优化问题转化为迭代二阶锥规划问题

最后对权矢量直接进行求解获得最佳值。仿真结果表明:该算法能够针对多径相干信号形成多波束主瓣

自由控制波束主瓣宽度和纹波水平。当期望信号的方向偏差达到3.5°、输入信干噪比在-5～10 dB范围内变化时

该算法的阵列输出信干噪比优于不确定集类算法0～6 dB

对大导向矢量失配误差鲁棒性更高。

Abstract

Aiming at degradation of robustness caused by large steering vector mismatch in the traditional adaptive beamforming algorithms

a robust adaptive beamforming algorithm by constraints on magnitude response is proposed. The receiving covariance matrix mismatch is modeling optimized

and the main lobe magnitudes are then constrained according to the known direction information of multiple coherent signals. The optimization case is converted into an iterative second-order cone programming(SOCP)via the presented lemma. Simulations show that this method enables to form beam main lobe in the direction of multiple coherent signals

and to control the width and the ripple level of the main lobe flexibly. When direction mismatch of the desired signal reaches 3.5° and the signal to noise ratio(SNR)varies within -5 dB to 10 dB

the array output signal to interference and noise ratio(SINR)in the proposed algorithm is superior to that in the uncertainty algorithm by 0-6 dB

and this algorithm is endowed with higher robustness against large steering vector mismatch.

关键词

Keywords

references

WIDROW B, DUVALL K, GOOCH R, et al. Signal cancellation phenomena in adaptive antennas: causes and cures[J]. IEEE Transactions on Antennas and Propagation, 1982, 30(3): 469-478.

黄中瑞, 刘春生, 唐孝国. 基于二阶锥规划的相干信号自适应波束形成[J]. 电子信息对抗技术, 2013, 28(2): 10-14.

HUANG Zhongrui, LIU Chunsheng, TANG Xiaoguo. Adaptive beam-forming of coherent signals based on second-order cone programming[J]. Electronic Information Warfare Technology, 2013, 28(2): 10-14.

LEE T S, LIN T T. Coherent interference suppression with complementally transformed adaptive beamformer[J]. IEEE Transactions on Antennas and Propagation, 1998, 46(5): 609-617.

BRESLER Y, REDDY V U, KAILATH T. Optimum beamforming for coherent signal and interferences[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1988, 36(6): 833-843.

DOGˇAN M C, MENDEL J M. Cumulant-based blind optimum beamforming[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(3): 722-741.

YU Lei, LIU Wei, RICHARD J L. Robust beamforming methods for multipath signal reception[J]. Digital Signal Processing, 2010, 20(2): 379-390.

VOROBYOV S A, GERSHMAN A B, LUO Zhiquan. Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem[J]. IEEE Transactions on Signal Processing, 2003, 51(2): 313-324.

YU Zhuliang, SER W, ER M H, et al. Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response[J]. IEEE Transactions on Signal Processing, 2009, 57(7): 2615-2628.

LIAO Bin, TSUI K M, CHAN S C. Robust beamforming with magnitude response constraints using iterative second-order cone programming[J]. IEEE Transactions on Antennas and Propagation, 2011, 59(9): 3477-3482.

WANG Fan, BALAKRISHNAN V, ZHOU P Y, et al. Optimal array pattern synthesis using semidefinite programming[J]. IEEE Transactions on Signal Processing, 2003, 51(5): 1172-1183.

GRANT M, BOYD S. CVX: Matlab software for disciplined convex programming, version 1.21[EB/OL].[2013-04-05]. http:∥cvxr.com/cvx/doc/CVX.pdf.

金伟, 贾维敏, 姚敏立, 等. 一种分解迭代二阶锥规划鲁棒自适应波束形成算法[J]. 电子与信息学报, 2012, 34(9): 2051-2057.

JIN Wei, JIA Weimin, YAO Minli, et al. A robust adaptive beamforming algorithm using decomposition and iterative second-order cone programming[J]. Journal of Electronics Information Technology, 2012, 34(9): 2051-2057.

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