Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of South China University of Technology(Natural Science Edition)》 2014-01
Add to Favorite Get Latest Update

Maximum 3-Shift Correlated Kurtosis Deconvolution Algorithm for Blind Extraction of Signals

Yang Guang-yong;Hu Guo-qing;Chen Le;Wu Hai-feng;Song Jia-sheng;School of Mechanical and Automotive Engineering,South China University of Technology;Key Laboratory on Wireless Sensor Network of Colleges and Universities of Yunnan Province,Yunnan University of Nationalities;  
The traditional low-order adaptive filter is inefficient in suppressing or eliminating the higher-order statistical noises of laser displacement signals,and the convergence speed as well as the SNR( Signal-to-Noise Ratio) of blind source separation based on the maximum entropy or the natural gradient may remarkably decrease under micro-displacement measurement conditions. In order to solve these problems,a maximum 3-shifted correlated kurtosis deconvolution( M3CKD) algorithm is presented on the basis of the kurtosis variation of mixed signals,and the corresponding inverse filter is designed. Moreover,the convergence and stability conditions of the algorithm are analyzed,and a blind extraction is carried out on a constructed experiment platform. The results indicate that the proposed algorithm is efficient in the blind extraction of laser displacement signals and multiple reflection signals, and that it outperforms the FastICA algorithm due to its high convergence speed and large signal-to-noise ratio.
【Fund】: 国家自然科学基金资助项目(61262091);; 无线传感器网络云南省高校重点实验室开放基金资助项目(ZK2011002)
【CateGory Index】: TN911.7
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 1 Hits
1 Cai Kun Xie Sheng-li(School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China);Blind Extraction of μ-Rhythm Electroencephalogram Signals Based on High-Order Statistics[J];Journal of South China University of Technology(Natural Science Edition);2011-05
【Co-citations】
Chinese Journal Full-text Database 3 Hits
1 Yan Xu-kun;Shi Quan;Li Zhi-yong;Song Ya-fei;Xin Guang;Department of Equipment Command and Management,Ordnance Engineering College;;Research on Extraction Method for Weak Fault Signals of Bearings[J];Bearing;2013-11
2 Wu Chuanhui,Guo Yu,Liang Yu(College of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500);Extracting Fault Features of Rolling Bearing During Speed Variation Based on cICA[J];Mechanical Science and Technology for Aerospace Engineering;2013-08
3 ZHANG Yan;ZENG Guo-ying;ZHAO Deng-feng;Electro Machining Laboratory,Chengdu Technological University;College of Mechanical Engineering,Southwest University of Science and Technology;;Fault Diagnosis of Bolted Joints Based on AR Model[J];Instrument Technique and Sensor;2013-11
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 Lü Jun Xie Sheng-li(School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China);Frequency-Domain Pattern Filtering of Electrocorticography Based on Motor Imagery[J];Journal of South China University of Technology(Natural Science Edition);2008-05
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved