中国空间科学技术2013，Vol.33Issue(1)：61-68,8.DOI:10.3780/j.issn.1000-758X.2013.01.009
基于SSA和BSS的单通道盲信号分离算法
SSA and BSS Based Separation Algorithm for Single-channel Signals
摘要
Abstract
In blind source separation (BSS), the single-channel broadband receiver often intercepts the multiple independent emitter signals. A new algorithm was proposed, in which SSA (singular spectrum analysis) and BSS methods were jointly used. The single-channel signal was firstly changed into pseudo-array signals via SSA method. Then, each source signal was separated via a conventional BSS algorithm. Simulation results indicate that the proposed algorithm can effectively separate the single-channel signals which consist of the signals normally used in electronic reconnaissance, for example, when the single-channel signal was mixed by a single-frequency signal and a linear frequency modulation signal, the semblance coefficient between original and separated signals are greater than 0. 9 when SNR is 6 dB. For the single-channel signal mixed by the different phase shift keying signals, their bit error rate is less than 0.01 after the source separation when SNR is 4 dB.关键词
信号处理/奇异谱分析/单通道盲信号分离/空间电子侦察Key words
Signal processing/ Singular spectrum analysis/ Single-channel blind signal separation/ Space electronic reconnaissance引用本文复制引用
于宁宇,马红光,姜勤波,石磊..基于SSA和BSS的单通道盲信号分离算法[J].中国空间科学技术,2013,33(1):61-68,8.基金项目
国家自然科学基金(61174207,61074072)资助项目 （61174207,61074072）
