• DocumentCode
    2120018
  • Title

    Suitable BSS algorithm for separating carrier modulation and LFM signals

  • Author

    Zhang, Jiao ; Zhang, Xudong

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    2915
  • Lastpage
    2918
  • Abstract
    Our goal is to find a suitable BSS(Blind Source Separation) algorithm to separate the mixed radar signals when the sources are modulated with the same type such as carrier modulation and LFM. It is especially a difficult case if their modulation parameters are similar. In this paper, we select six BSS algorithms, FastICA, SOBI-RO, JADE, TFBSS, RADICAL and Kernel ICA to deal with this problem and obtain our experimental conclusion. Then we propose a novel method to improve the performance. The simulation results show that the method is effective to get better performance compared to the existing algorithms particularly in the low SNR cases.
  • Keywords
    blind source separation; independent component analysis; radar signal processing; BSS algorithm; FastICA; JADE; Kernel ICA; LFM signals; RADICAL; SNR; SOBI-RO; TFBSS; blind source separation algorithm; carrier modulation; independent component analysis; mixed radar signals; Frequency modulation; Kernel; Signal to noise ratio; Source separation; Wavelet transforms; BSS; Carrier modulation; ICA; LFM; RSCW; SIRG; SIRJ; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4577-1414-6
  • Type

    conf

  • DOI
    10.1109/CECNet.2012.6201742
  • Filename
    6201742