[1]付卫红,杨小牛,曾兴雯,等.适用于通信侦察的信号盲分离算法[J].南京理工大学学报(自然科学版),2008,(02):189-194.
 FU Wei-hong,YANG Xiao-niu,ZENG Xing-wen,et al.Signal Blind Separation Algorithm Applying to Communication Reconnaissance[J].Journal of Nanjing University of Science and Technology,2008,(02):189-194.
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适用于通信侦察的信号盲分离算法
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2008年02期
页码:
189-194
栏目:
出版日期:
2008-04-30

文章信息/Info

Title:
Signal Blind Separation Algorithm Applying to Communication Reconnaissance
作者:
付卫红;杨小牛;曾兴雯;刘乃安;
1. 西安电子科技大学ISN国家重点实验室, 陕西西安710071; 2. 江南电子通信研究所通信系统信息控制技术国家级重点实验室, 浙江嘉兴314033
Author(s):
FU Wei-hong1YANG Xiao-niu2ZENG Xing-wen1LIU Nai-an1
1.State Key Laboratory of Integrated Service Networks,Xidian University,Xi’an 710071,China;2.National Laboratory of Information Control Technology for Communication System,Jiangnan Electronic Communications Research Institute,Jiaxing 314033,China
关键词:
通信侦察 信号处理 盲源分离 独立分量分析
Keywords:
communication reconnaissance signal processing blind source separation independent component analysis
分类号:
TN971
摘要:
以Kullback-Leibler散度为代价函数,基于相对梯度算法推导了在通信侦察中适用于通信信号盲分离的独立信源盲分离算法,并从理论上证明了算法的稳定性。仿真结果表明:只要源信号之间相互独立,则对任意载频、任何调制方式的通信信号,该算法都能够根据观察到的混合信号有效地分离出源信号。在源信号并不完全独立的情况下,其分离性能略有降低。
Abstract:
With the Kullback-Leibler divergence as cost function,the relative gradient is used to deduce a separation algorithm for communication signal blind separation in the communication reconnaissance.The algorithm given in the paper is proved stable in theory.Simulation results show that this algorithm can effectively separate the original signals from the observed signals with any carrier frequency and any modulation if only these original signals are independent each other.When original signals are not absolutely independent,their performance is decreased a little.

参考文献/References:

[1] Jutten C, H erau lt J. B lind separation of sources, Part + : an adaptive algorithm based on neurom im etic a r?? ch itecture [ J]. S igna l Process ing, 1991, 24: 1- 10.
[2] Comm on P, Jutten C, H erau lt J. B lind sepa ra tion o f sources, Pa rt , : prob lem s statement [ J]. Signa l Processing, 1991, 24: 11- 20.
[3] Sorouchyar i E. B lind separation of sources, Part ? : stability ana lysis [ J]. S ignal Processing, 1991, 24: 21- 29.
[4] 许士敏, 陈鹏举. 频谱混叠通信信号分离方法[ J]. 航天电子对抗, 2004( 5) : 53- 55.
[5] 付卫红, 杨小牛, 刘乃安, 等. 基于密度估计盲分离 的通信信号盲侦察技术[ J]. 华中科技大学学报, 2006, 34( 10): 24- 27.
[6] Jutten C, H erault J. Independent component ana lys is versus PCA [ A ]. Proceeding o f European S igna l Pro?? cess ing Conference [ C ]. Grenob le: European Signa l Processing Conference, 1988. 643- 646.
[7] C ichocki A, Am ari S. Adaptive b lind signa l and mi age processing [M ]. New Yo rk: JohnW iley& Sons, 2002.

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金( 60702060, 60672038); 高等学校学科创新引智计划( B08038) 作者简介: 付卫红( 1979- ), 女, 湖北孝感人, 讲师, 博士, 主要研究方向: 通信侦察、盲信号处理, E-mail: w hfu@ mail. x idian. edu. cn。
更新日期/Last Update: 2008-04-30