[1]李洪涛,贺亚鹏,朱晓华,等.基于特征向量的线性约束最小方差自适应方向图控制[J].南京理工大学学报(自然科学版),2011,(04):529-533.
 LI Hong-tao,HE Ya-peng,ZHU Xiao-hua,et al.Eigenvector-based Linearly Constrained Minimum Variance Adaptive Pattern Control Algorithm[J].Journal of Nanjing University of Science and Technology,2011,(04):529-533.
点击复制

基于特征向量的线性约束最小方差自适应方向图控制
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2011年04期
页码:
529-533
栏目:
出版日期:
2011-08-31

文章信息/Info

Title:
Eigenvector-based Linearly Constrained Minimum Variance Adaptive Pattern Control Algorithm
作者:
李洪涛1贺亚鹏1朱晓华1胡文2
1. 南京理工大学电子工程与光电技术学院,江苏南京210094; 2. 南京航空航天大学信息科学与技术学院,江苏南京210016
Author(s):
LI Hong-tao1HE Ya-peng1ZHU Xiao-hua1HU Wen2
1. School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China; 2. College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
关键词:
自适应方向图控制 特征向量 静态方向图
Keywords:
adaptive pattern control eigenvectors quiescent patterns
分类号:
TN911. 7
摘要:
针对自适应波束形成中副瓣电平较高的问题,该文提出一种基于特征向量的线性约束 最小方差( E-LCMV) 自适应方向图控制算法。该算法通过对输入数据协方差矩阵进行特征分 解,得到干扰子空间与噪声子空间,利用子空间之间的正交性,在静态加权矢量中修正约束矩阵 和约束响应矢量,可在小快拍数条件下有效地抑制干扰,并同时保持静态方向图的副瓣特征。 计算机仿真结果表明该算法具有良好的副瓣特性,并提高了低快拍数下输出的信干噪比 ( SINR) ,验证了该算法的有效性和优越性。
Abstract:
To solve the problem of high sidelobe in the adaptive beamformer, this paper presents an eigenvector-based linearly constrained minimum variance ( E-LCMV ) adaptive pattern control algorithm. The presented algorithm gets the interference subspace and noise subspace by performing eigen decomposition( ED) to covariance matrix of the input data. Utilizing the orthogonality of the subspace, the proposed algorithm amends constraint matrix and constraint response vector of quiescent weighting vector. In this way, the proposed algorithm can restrain interference and make the overall beamformer sidelobe response equal to the desired quiescent response in the condition of small number of snapshots at the same time. Computer simulation shows that the presented algorithm can obtain low sidelobe and improve the output signal to interference plus noise ratio( SINR) in the condition of small number of snapshots, confirming the validity and superiority of the proposed algorithm.

参考文献/References:

[1] Bell K L,Van Trees H L. Adaptive and non-adaptive beampattern control using quadratic beampattern constraints [A]. Proceedings of the 33rd Asilomar Conference on Signals,Systems and Computers[C]. Pacific Grove,USA: IEEE Press, 1999: 486-490.
[2] Bell K L,Wage K E. Partially adaptive LCMV beamforming with quadratic pattern constraints[A]. Proceedings of the 4th World Multiconference on Systemic,Cybernetics and Informatics( SCI2000) [C]. Orlando,USA: IEEE Press, 2000: 213-218.
[3] Bell K L,Van Trees H L,Griffiths L J. Adaptive beampattern control using quadratic constraints for circular array STAP[A]. Proceedings of 2000 adaptive Sensor Array Processing Workshop( ASAP 2000) [C]. Lexington,USA: MIT Lincoln Laboratory, 2000: 483-488.
[4] Bell K L,Wage K E. Reduced rank space-time adaptive processing with quadratic pattern constraints for airborne radar [A]. Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers [C]. Pacific Grove,USA: IEEE Press, 2003: 807-811.
[5] Tseng C Y,Griffiths L J. A unified approach to the design of linear constraint in minimum variance adaptive beamformer[J]. IEEE Transactions on Antenna Propagation, 1992, 40( 12) : 1533-1542.
[6] Lombardo P,Pastina D. Pattern control for adaptive antenna processing with overlapped sub-arrays[A]. Proceedings of International Conference on Radar[C]. Adelaide,Australia: IEEE Press, 2003: 188-193.
[7] Tseng C Y,Griffiths L J. A simple algorithm to achieve desired pattern for arbitrary arrays [J]. IEEE Transactions on Signal Processing,1992,40( 11) : 2737 -2746.
[8] 苏保伟,王永良,周良柱. 基于LCMV 线性约束的自 适应方向图控制[J]. 电子与信息学报,2008, 30( 2) : 282-285.
[9] 王永良,丁前军,李荣锋. 自适应阵列处理[M]. 北 京: 清华大学出版社, 2009.
[10] 张宇,王建新. MIMO 雷达发射波束形成技术研究 [J]. 南京理工大学学报, 2008, 32( 3) : 356-359.
[11] Veen B D V,Bucklev K M. Beamforming: A versatile approach to spatial filtering[J]. IEEE ASSP Magazine, 1988,5 ( 2) : 4-24.

相似文献/References:

[1]徐海燕.Jacobi矩阵的逆特征值问题[J].南京理工大学学报(自然科学版),1999,(01):93.
 Xu Haiyan.Inverse Eigenvalue of Jacobi Matrices[J].Journal of Nanjing University of Science and Technology,1999,(04):93.
[2]章伯其.关于正定张量定义和二阶张量特征向量[J].南京理工大学学报(自然科学版),1996,(01):87.
 Zhang Beiqi.On the Definition of Positive Definite Tensor and Characteristic Vector of Tensor of Rank Two[J].Journal of Nanjing University of Science and Technology,1996,(04):87.
[3]欧景昭.关于共正矩阵的特征向量[J].南京理工大学学报(自然科学版),1988,(03):13.

备注/Memo

备注/Memo:
基金项目: 航空基金( 2009ZC52038) ; 南京理工大学自主科研专项计划资助项目( 2010ZYTS028) ; 南京理工大学科 研启动基金资助( 2010ZDJH05) 作者简介: 李洪涛( 1979-) ,男,博士生,主要研究方向: 阵列信号处理、自适应信号处理等,E-mail: floodlee@ 126. com; 通讯作者: 朱晓华( 1966-) ,男,教授,博士生导师,主要研究方向: 雷达系统、高速实时数字信号处 理等,E-mail: zxh@ mail. njust. edu.
更新日期/Last Update: 2012-10-23