欢迎访问中国科学院大学学报,今天是
信息与电子科学

基于时域卷积盲信号分离的雷达干扰抑制算法

  • 温媛媛 ,
  • 陈豪
展开
  • 中国空间技术研究院西安分院空间微波技术重点实验室, 西安 710100

收稿日期: 2012-03-05

  修回日期: 2012-10-23

  网络出版日期: 2013-07-15

基金资助

国家重点实验室基金(9140C5305021006)资助 

Algorithm of radar interference suppression based on blind signal separation in the time domain

  • WEN Yuan-Yuan ,
  • CHEN Hao
Expand
  • Xi'an Division of China Academy of Space Technology, Science and Technology on Space Microwave Taboratory, Xi'an 710100, China

Received date: 2012-03-05

  Revised date: 2012-10-23

  Online published: 2013-07-15

摘要

把卷积盲分离算法应用于雷达系统抗干扰中,提出一种新的雷达系统干扰抑制算法. 该算法在时域中对四阶累积量进行联合块对角化,以实现雷达信号和干扰信号的盲分离. 计算机仿真结果表明,在无噪及含噪情况下,该算法均可把卷积混合的雷达回波信号及干扰信号分离开来,且有很好的分离性能.

本文引用格式

温媛媛 , 陈豪 . 基于时域卷积盲信号分离的雷达干扰抑制算法[J]. 中国科学院大学学报, 2013 , 30(4) : 523 -527 . DOI: 10.7523/j.issn.2095-6134.2013.04.014

Abstract

Blind signal separation (BSS) has been used to realize the radar anti-jamming. A new algorithm of radar interference suppression based on convolutive BSS is proposed and the radar performance is improved. Through the joint block diagonalizaton of fourth-order cumulant in the time domain the separation of the radar signals and the jamming is realized. Simulation results show that the new method has better performance of separation.

参考文献

[1] 张光义. 相控阵雷达系统 [M]. 北京:北京国防工业出版社, 1994.

[2] Fu W H, Yang X N, Liu N A, et al. Algorithm for multichannel blind deconvolution based on subspace decomposition[J]. Journal on Communication, 2009,30(1): 25-30(in Chinese). 付卫红,杨小牛,刘乃安,等. 基于子空间分解的多通道盲解卷积算法[J]. 通信学报,2009,30(1): 25-30.

[3] Buchner H, Aichner R, Kellermann W. A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics[J]. IEEE Transactions on Speech and Audio Processing, 2005, 13(1): 120-134.

[4] Ghennioui H, Fadaili E M, Moreau N T, et al. A nonunitary joint block diagonalization algorithm for blind separation of convolutive mixtures of sources[J]. IEEE Signal Processing Letters, 2007, 14(11): 860-863.

[5] Sawada H, Mukai R, Araki S, et al. A robust and precise method for solving the permutation problem of frequency-domain blind source separation[J]. IEEE Transactions on Speech and Audio Processing, 2004, 12(5): 530-538.

[6] He Z S, Xie S L, Ding S X, et al. Convolutive blind source separation in the frequency domain based on sparse representation[J]. IEEE Transactions on Audio, Speech, and Language Processing, 2007, 15(5): 1551-1563.

[7] Huang G M, Yang L X, He Z Y. A radar anti-jamming technology based on blind source separation[J]. Journal of Circuits and Systems, 2004,9(6): 94-99(in Chinese). 黄高明,杨绿溪,何振亚. 一种基于盲源分离的雷达抗干扰技术[J]. 电路与系统学报,2004,9(6): 94-99.

[8] Gorokhov A, Loubaton P. Subspace based techniques for second order blind separation of convolutive mixtures with temporally correlated sources[J]. IEEE Trans Circuit Syst, 1997, 44(9): 813-820.

[9] Hyvarinen A,Oja E A. Fast fixed-point algorithm for independent component analysis[J].Neural Computation, 1997, 9(7):1483-1492.

[10] Vrins F, Pham D T, Verleysen M. Mixing and nonmixing local minima of the entropy contrast for blind source separtation[J].IEEE Trans Inf Theory,2007,15(5):12-20.

文章导航

/