• DocumentCode
    3385594
  • Title

    Blind source separation in noisy environment and applications in satellite communication anti-jamming

  • Author

    Lin Bo ; Zhang Bang-ning ; Guo, Dao-shen

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    28-29 Nov. 2009
  • Firstpage
    96
  • Lastpage
    99
  • Abstract
    Aiming at the problem of satellite communication signal and jamming blind separation in noisy environment, a new method is presented which combined joint approximate diagonalization (JAD) of the fourth order cumulant matrix and post-position wavelet de-noising. The new method has solved the problem that the performance of previous ones become worse at jamming-to-signal-ratio (JSR) exceeded 30 dB when they are used for satellite communication anti-jamming. Bit error ratio (BER) performance simulations are used to provide quantitative evaluations of the efficiency of the method.
  • Keywords
    blind source separation; error statistics; jamming; satellite communication; signal denoising; wavelet transforms; antijamming; bit error ratio; blind source separation; fourth order cumulant matrix; jamming-to-signal-ratio; joint approximate diagonalization; noisy environment; satellite communication; wavelet denoising; AWGN; Additive white noise; Blind source separation; Gaussian noise; Independent component analysis; Jamming; Noise reduction; Satellite communication; Source separation; Working environment noise; Blind Source Separation; Joint Approximate Diagonalization; post-position wavelet de-noising; satellite communication anti-jamming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4606-3
  • Type

    conf

  • DOI
    10.1109/PACIIA.2009.5406547
  • Filename
    5406547