A blind separation approach of low order cyclostationary signals

被引：0

作者：

Wang, Zhiyang ^{[1
]}

Chen, Jin ^{[2
]}

Du, Wenliao ^{[3
]}

机构：

[1] School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China

[2] School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 201101, China

[3] Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry, Zhengzhou 450001, China

来源：

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2014年 / 34卷 / 12 SUPPL.期

关键词：

Fault detection - Autocorrelation;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

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.

引用

页码：159 / 164