• DocumentCode
    1649461
  • Title

    Orthogonal Wavelet Transform based Sign Decision Dual-mode blind equalization Algorithm

  • Author

    Guo, Ye-Cai ; Han, Ying-ge ; Yang, Chao

  • Author_Institution
    Nanjing Univ. of Inf. Sci. & Technol., Nanjing
  • fYear
    2008
  • Firstpage
    80
  • Lastpage
    83
  • Abstract
    Aiming at the slow convergence rate and the high mean square error of constant modulus algorithm(CMA), a new orthogonal wavelet transform based sign decision dual-mode blind equalization algorithm(WT-SDDA) is proposed. In the proposed algorithm, orthogonal wavelet transform based constant modulus algorithm (WT-CMA) is integrated with orthogonal wavelet transform based stop-and-go changeable modulus blind equalization algorithm (WT-SG-CMA), and the switch process is decided by the sign decision. Simulation tests with underwater acoustic channel shows that the proposed WT-SDDA algorithm outperforms the CMA and the WT-CMA in the convergence rates and residual mean square error and that it has the faster convergence rate than the WT-SG-CMA under condition of the same residual error.
  • Keywords
    blind equalisers; convergence; underwater acoustic communication; wavelet transforms; constant modulus algorithm; orthogonal wavelet transform; residual error; residual mean square error; sign decision dual-mode blind equalization algorithm; slow convergence rate; stop-and-go changeable modulus blind equalization algorithm; underwater acoustic channel; underwater acoustic communication; Adaptive equalizers; Blind equalizers; Convergence; Decision feedback equalizers; Mean square error methods; Quadrature amplitude modulation; Switches; Underwater acoustics; Underwater communication; Wavelet transforms; constant modulus algorithm; convergence rate; dual-mode; underwater acoustic channel; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697073
  • Filename
    4697073