A Blind Source Extraction Method for Chaotic Signals Using Unscented Kalman Filters

被引：0
|
作者：
Chen, Yue [1 ]
Wang, Mengjiao [1 ]
Feng, Jiuchao [1 ]
机构：
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China
来源：
2014 IEEE 7TH INTERNATIONAL CONFERENCE ON ADVANCED INFOCOMM TECHNOLOGY (ICAIT) | 2014年
关键词：
blind extraction; unscented Kalman filter; chaotic signal; SEPARATION;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The applications of chaos in wireless communication systems require tackling the blind source extraction problem. A class of existing blind source extraction methods in the framework of kalman filtering suffer great performance degeneration when applying to noisy chaotic mixtures. To address this issue, a new method is proposed. This method incorporates two unscented Kalman filters alternately estimate the extracting vector and the source signal. Simulation results indicate that the proposed algorithm outperforms existing unscented Kalman approach.
引用
收藏
页码：104 / 112
页数：9
相关论文
共 50 条
  • [31] Arrhythmic ECG Signals Extraction by Blind Source Separation
    Pukenas, K.
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2010, (01) : 19 - 22
  • [32] A Blind Source Separation Method Based on Kalman Filtering
    Hu, Zhihui
    Feng, Jiuchao
    2009 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLUMES I & II: COMMUNICATIONS, NETWORKS AND SIGNAL PROCESSING, VOL I/ELECTRONIC DEVICES, CIRUITS AND SYSTEMS, VOL II, 2009, : 473 - 476
  • [33] A Novel Method for Deinterleaving of Radar Signals Using Blind Source Separation
    Lu Wei
    Ma Ming
    INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY II, PTS 1-4, 2013, 411-414 : 1053 - 1057
  • [34] Blind source separation: New tools for extraction of source signals and denoising
    Cichocki, A
    INDEPENDENT COMPONENT ANALYSES, WAVELETS, UNSUPERVISED SMART SENSORS, AND NEURAL NETWORKS III, 2005, 5818 : 11 - 25
  • [35] Blind source separation of audio signals using improved ICA method
    Sattar, F
    Siyal, MY
    Wee, LC
    Yen, LC
    2001 IEEE WORKSHOP ON STATISTICAL SIGNAL PROCESSING PROCEEDINGS, 2001, : 452 - 455
  • [36] GNSS Interference Source Tracking using Kalman Filters
    Biswas, Sanat K.
    Cetin, Ediz
    2020 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2020, : 877 - 882
  • [37] Online option price forecasting by using unscented Kalman filters and support vector machines
    Huang, Shian-Chang
    EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (04) : 2819 - 2825
  • [38] PARTIALLY BLIND EXTRACTION OF CONTINUOUS CHAOTIC SIGNALS FROM A LINEAR MIXTURE
    Hu Wen Liu Zhong Li Chunbiao Wang Dechun Zhang Gong (College of Information Science & Technology
    Journal of Electronics(China), 2009, 26 (05) : 600 - 607
  • [39] A new method for blind extraction of cyclostationary signals
    Wang, Zhiyang
    Chen, Jin
    Zhou, Yu
    Xiao, Wenbin
    JOURNAL OF VIBRATION AND CONTROL, 2012, 18 (06) : 878 - 892
  • [40] State Estimation in TPN and PPN Guidance Laws by Using Unscented and Extended Kalman Filters
    Moosapour, S. H.
    Moosapour, S.
    Asadollahi, Mostafa
    2013 21ST IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2013,
12345