基于变换矩阵的自适应方向图控制

李洪涛;贺亚鹏;朱晓华;胡 文

doi:10.3981/j.issn.1000-7857.2011.05.006

科技导报 >

2011 , Vol. 29 >Issue 11-05: 41 - 45

DOI: https://doi.org/10.3981/j.issn.1000-7857.2011.05.006

研究论文

基于变换矩阵的自适应方向图控制

李洪涛;贺亚鹏;朱晓华;胡文

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1. 南京理工大学电子工程与光电技术学院，南京 2100942. 南京航空航天大学信息科学与技术学院，南京 210016

收稿日期: 2010-09-08

修回日期: 2011-01-18

网络出版日期: 2011-02-18

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Adaptive Pattern Control Algorithm Based on Transformation Matrix

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Received date: 2010-09-08

Revised date: 2011-01-18

Online published: 2011-02-18

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摘要

针对低快拍情况下自适应波束形成器输出方向图存在主峰偏移、副瓣电平较高的问题，提出一种低快拍情况下基于变换矩阵的自适应方向图控制方法。利用干扰空间与噪声空间特征向量之间的正交性，去除干扰空间特征向量，并对噪声空间特征向量进行均一化后生成变换矩阵，最后利用变换矩阵在最大信噪比准则下进行波束形成。该方法可在小快拍数条件下有效地抑制干扰，并可同时保持静态方向图的副瓣特征。仿真结果验证了该方法的有效性和优越性。

关键词： 自适应方向图控制; 变换矩阵; 静态方向图

本文引用格式

李洪涛;贺亚鹏;朱晓华;胡文 . 基于变换矩阵的自适应方向图控制[J]. 科技导报, 2011 , 29(11-05) : 41 -45 . DOI: 10.3981/j.issn.1000-7857.2011.05.006

Abstract

To solve the problem of deviation of main lobe and high side lobe in the adaptive beam former in the situation of limited snapshots, an adaptive pattern control algorithm based on a transformation matrix in the situation of limited snapshots is presented. According to the orthogonality of the interference subspace and noise subspace of the covariance matrix for the interference scenario, the proposed algorithm removes the eigenvectors of the interference subspace from the covariance matrix of the interference scenario and homogenizes the eigenvalues of the noise subspace of the covariance matrix for the interference scenario to form a transformation matrix with the eigenvectors of the noise subspace only, then the beam is formed using the transformation matrix based on the criterion of maximum signal-to -noise ratio with the interference being well suppressed. The proposed algorithm can diminish the deviation of main lobe, restrain interference, and make the overall beam former side lobe response equal the desired quiescent response under the condition of small number of snapshots. Both performance analysis and computer simulation results demonstrate the validity and superiority of the proposed algorithm.

Key words： Adaptive Pattern Control; Transformation Matrix; Quiescent Pattern

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