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引用本文:王翔,黄知涛,周一宇.基于循环频域滤波及Schmidt正交对消的单通道信号分离算法[J].国防科技大学学报,2012,34(4):120-125.[点击复制]
WANG Xiang,HUANG Zhitao,ZHOU Yiyu.Single channel signal separation algorithm based on cyclostationary filtering and Schmidt orthogonal cancellation[J].Journal of National University of Defense Technology,2012,34(4):120-125[点击复制]
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基于循环频域滤波及Schmidt正交对消的单通道信号分离算法
王翔, 黄知涛, 周一宇
(国防科技大学 电子科学与工程学院,湖南 长沙 410073)
摘要:
    单通道盲信号分离是信号处理领域中的研究热点和难点。分析了循环频域滤波用于单通道时频重叠信号分离的可行性,提出了基于循环平稳频移滤波器及Schmidt正交对消的信号分离方法。利用频移滤波器提取一个源信号,通过Schmidt正交化法从观测信号中消去已提取的源信号获得另一个源信号。仿真表明,本文算法可有效分离时频重叠的雷达通信信号,相比时域维纳滤波,分离性能提高了10dB以上。
关键词:  循环平稳  频移滤波器  单通道  信号分离  Schmidt正交  对消
DOI:
投稿日期:2011-09-14  
基金项目:新世纪优秀人才支持计划资助项目
Single channel signal separation algorithm based on cyclostationary filtering and Schmidt orthogonal cancellation
WANG Xiang, HUANG Zhitao, ZHOU Yiyu
(College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Abstract:
    Single Channel Blind Signal Separation (SCBSS) is a hot and difficult topic in signal processing field. The feasibility of cyclostationary filtering applied in the single channel signal separation problem for the spectrally overlapping signals was analyzed, and then a separation algorithm based on frequency shift filter and Schmidt orthogonal cancellation was proposed. Firstly a source signal by frequency shift filter was extracted, then another source signal was estimated by subtracting the signal recovered from the mixture based on Schmidt orthogonalization. Simulation results indicate that, compared with the Wiener filtering technique, the proposed algorithm can separate radar and communication signals which are spectrally overlapping effectively and the proposed algorithm estimates the source signals with higher gain about 10dB. 
Key words:  cyclostationary  frequency shift filter  single channel  signal separation  Schmidt orthogonalization  cancellation
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