Advanced Search
Volume 30 Issue 8
Jan.  2011
Turn off MathJax
Article Contents
Fu Wei-hong, Yang Xiao-niu, Liu Nai-an . Robust Algorithm for Communication Signal Blind Separation Fourth-Order-Cumulant-Based[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1853-1856. doi: 10.3724/SP.J.1146.2007.00133
Citation: Fu Wei-hong, Yang Xiao-niu, Liu Nai-an . Robust Algorithm for Communication Signal Blind Separation Fourth-Order-Cumulant-Based[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1853-1856. doi: 10.3724/SP.J.1146.2007.00133

Robust Algorithm for Communication Signal Blind Separation Fourth-Order-Cumulant-Based

doi: 10.3724/SP.J.1146.2007.00133
  • Received Date: 2007-01-23
  • Rev Recd Date: 2007-09-17
  • Publish Date: 2008-08-19
  • Aiming at the problem of communication signal blind separation in the noisy circumstance, a Blind Source Separation(BSS)algorithm in the case of noise is presented which combined the robust whitening algorithm and Joint Approximate Diagonalization (JAD) of the fourth order cumulant matrix and has good separation performance. Simulation results show that the separation performance of the algorithm proposed in the paper is greatly improved upon the normal fourth order cumulant matrix JAD algorithm, and the Interference-Signal-Ratio (ISR) can be decreased 10dB without increasing much too computation quantity.
  • loading
  • 何培宇, 殷斌, Sommen P C W. 一种有效的语音盲信号分离简化混合模型. 电子学报, 2002, 30(10): 1438-1441.He Pei-yu, Yin Binm, and Sommen P C W. An effectivesimplified mixing model in audio blind signal separation.Acta Electronica Sinica, 2002, 30(10): 1438-1441.[2]张玲, 何培宇, 刘开文. 关于噪声环境中语音信号盲分离的研究. 四川大学学报(自然科学版) 2004, 41(1): 97-100.Zhang Ling, He Pei-yu and Liu Kai-wen. The study of blindspeech signal separation in noisy environment. Journal ofSichuan University (Natural Science Edition), 2004, 41(1):97-100.[3]苏野平, 何量, 杨荣震等.一种改进的基于高阶累积量的语音盲分离算法. 电子学报, 2002, 30(7): 956-958.Su Ye-ping, He Liang, and Yang Rong-zhen, et al.. Animproved higher order cumulants based blind speechseparation method. Acta Electronica Sinica, 2002, 30(7):956-958.[4]姚毅, 贾金玲, 姚娅川. 盲分离技术在识别生物信号中的应用.仪器仪表学报, 2004, 25(4): 155-156.Yao Yi, Jia Jin-ling, and Yao Ya-chuan. Application of BlindSource Separation Technique in Identification of CreatureSignal. Chinese Journal of Scientific Instrument, 2004, 25(4):155-156.[5]傅彦, 周俊临. 基于无监督学习的盲信号源分离技术研究. 电子科技大学学报, 2004, 33(1): 63-66.Fu Yan and Zhou Jun-lin. Research of blind source separationtechnology which based on unsupervised learning. Journal ofUniversity of Electronic Science and Technology of China,2004, 33(1): 63-66.[6]Mitsuru K, Kiyotaka K, and Yujiro I. Robustsuper-exponential methods for deflationary blind sourceseparation of instantaneous mixtures[J].IEEE Trans. onSignal Processing.2005, 53(5):1933-1937[7]cardoso J F and Soulouniac A. Blind beamforming for nongaussiansignals. IEE Proc. -F, 1993, 140(6): 362-370.[8]Cardoso J F and Soulouniac A. Jacobi angles forsimultaneous diagonalization. SIAM J. Matrix Anal. Appli.1996, 17(1): 161-164.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2969) PDF downloads(1041) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return