A HOS-based Blind Signal Extraction Method for Chaotic MIMO Systems

被引：0
|
作者：
宫蕴瑞
何迪
何晨
蒋铃鸽
机构：
[1] Department of Electronic Engineering Shanghai Jiaotong University
[2] Shanghai 200240 China Shanghai 200240 China Shanghai 200240 China Shanghai 200240 China
[3] Department of Electronic Engineering Shanghai Jiaotong University
来源：
JournalofShanghaiJiaotongUniversity | 2008年 / 01期
关键词：
blind signal extraction; higher-order statistics; chaotic MIMO systems; ultra-wide band (UWB);
D O I：
暂无
中图分类号：
TN919.3 [数据传输技术];
学科分类号：
0810 ; 081001 ;
摘要：
A novel method to extract multiple input and multiple output (MIMO) chaotic signals was proposed using the blind neural algorithm after transmitting in nonideal channel. The MIMO scheme with different chaotic signal generators was presented. In order to separate the chaotic source signals only by using the sensor signals at receivers, a blind neural extraction algorithm based on higher-order statistic (HOS) technique was used to recover the primary chaotic signals. Simulation results show that the proposed approach has good performance in separating the primary chaotic signals even under nonideal channel.
引用
收藏
页码：21 / 25
页数：5
相关论文
共 50 条
  • [1] HOS-based blind signal extraction method for chaotic MIMO systems
    Gong Y.-R.
    He D.
    He C.
    Jiang L.-G.
    Journal of Shanghai Jiaotong University (Science), 2008, 13 (1) : 21 - 25
  • [2] A New HOS-Based Blind Source Extraction Method to Extract μ Rhythms from EEG Signals
    Cai, Kun
    Xie, Shengli
    ADVANCES IN SWARM INTELLIGENCE, PT 2, PROCEEDINGS, 2010, 6146 : 180 - +
  • [3] Blind MIMO system identification using PARAFAC decomposition of an output HOS-based tensor
    Acar, TD
    Petropulu, AP
    CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 2003, : 1080 - 1084
  • [4] A HOS-Based Blind Spectrum Sensing in Noise Uncertainty
    Subekti, Agus
    Sugihartono
    Syambas, Nana Rachmana
    Suksmono, Andriyan B.
    JOURNAL OF ICT RESEARCH AND APPLICATIONS, 2015, 9 (01) : 20 - 38
  • [5] Normalized, HOS-based, blind speech separation algorithms
    De Leon, P
    Ma, YS
    CONFERENCE RECORD OF THE THIRTY-FOURTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2000, : 1197 - 1201
  • [6] HOS-based method for classification of power quality disturbances
    Ferreira, D. D.
    Cerqueira, A. S.
    Duque, C. A.
    Ribeiro, M. V.
    ELECTRONICS LETTERS, 2009, 45 (03) : 183 - 185
  • [7] Blind MAI and ISI suppression for DS/CDMA systems using HOS-based inverse filter criteria
    Chi, CY
    Chen, CH
    Chen, CY
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (06) : 1368 - 1381
  • [8] Blind identification of instantaneous MIMO systems via a system to HOS based source extraction filter relation
    Chi, CY
    Peng, CH
    Tseng, PS
    2004 IEEE 5TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, 2004, : 541 - 545
  • [9] HOS-based generalized noise pdf models for signal detection optimization
    Tesei, A
    Regazzoni, CS
    SIGNAL PROCESSING, 1998, 65 (02) : 267 - 281
  • [10] HOS-based algorithm for blind identification of MA models using BPSK signals
    Electronics and Instrumentation Laboratory LEI , Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University , Avenue Prince My Abdellah, P.O. box 2390, 40001 Marrakesh, Morocco
    Recent Pat. Comput. Sci., 2009, 2 (131-134):
12345