A Blind Separation Approach of Low Order Cyclostationary Signals  

作　　者：Wang Zhiyang Chen Jin Du Wenliao 

机构地区：[1]School of mechanical and power engineering, Henan Polytechnic University [2]School of mechanical engineering, Shanghai Jiao Tong University [3]Mechanical and Electrical Engineering Institute,Zhengzhou University of Light Industry

出　　处：《仪器仪表学报》2013年第S1期159-164,共6页Chinese Journal of Scientific Instrument

基　　金：Doctor Foundations of Henan polytechnic university(648391);NSFC(U1304523,51205371)

摘　　要：This paper presents a new blind separation approach of the low order cyclostationary signals based on the cyclic periodicity of the cyclostationary signal.The goal of the method is extracting the hidden periodicity and reducing the randomicity of cyclostationary signal and it is particularly applicable to the separation of low order cyclostationary signals.The method also demonstrates the importance of extraction of cyclostationary signals from low order to high order in turn.The effectiveness of the proposed method is finally demonstrated by computer simulation and experiment.This paper presents a new blind separation approach of the low order cyclostationary signals based on the cyclic periodicity of the cyclostationary signal.The goal of the method is extracting the hidden periodicity and reducing the randomicity of cyclostationary signal and it is particularly applicable to the separation of low order cyclostationary signals.The method also demonstrates the importance of extraction of cyclostationary signals from low order to high order in turn.The effectiveness of the proposed method is finally demonstrated by computer simulation and experiment.

关 键 词：BLIND source SEPARATION CYCLOSTATIONARY CYCLIC AUTOCORRELATION function machine FAULT diagnosis 

分 类 号：TN911.7[电子电信—通信与信息系统]