• DocumentCode
    436997
  • Title

    A novel mixed constant modulus blind equalization algorithm

  • Author

    Guo, Yecai ; Zhao, Junwei

  • Author_Institution
    Anhui Univ. of Sci. & Technol., Huainan, China
  • Volume
    1
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    319
  • Abstract
    For greatly improving convergence rate of constant modulus algorithm (CMA) and reducing residual mean square error (MSE) of sign error constant modulus algorithm (SECMA). A novel mixed constant modulus cost function is defined. A novel mixed constant modulus algorithm (NMCMA) is created. Equalizer coefficients of the NMCMA are updated using two gradient vectors based on the CMA and the SECMA. The NMCMA has the features of fast convergence and low residual MSE. The performance of the NMCMA can be improved by adjusting the coefficients of two gradient vectors. Through computer simulation of shallow water channel equalization the efficiency of the NMCMA is proved.
  • Keywords
    blind equalisers; gradient methods; mean square error methods; gradient vector; mixed constant modulus blind equalization algorithm; residual mean square error; shallow water channel equalization; sign error constant modulus algorithm; Acoustic distortion; Baseband; Blind equalizers; Convergence; Costs; Finite impulse response filter; Gaussian noise; Interference; Quadrature amplitude modulation; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1452646
  • Filename
    1452646