• DocumentCode
    3490617
  • Title

    MMSE-Based Block Implementation of Constant Modulus Algorithm

  • Author

    Bao, Jianrong ; Zhan, Yafeng ; Lu, Jianhua

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    1020
  • Lastpage
    1023
  • Abstract
    This paper introduces a new parallel scheme of Godard´s constant modulus algorithm which can be easily implemented by hardware. With the criterion of Godard´s constant modulus, stochastic gradient decency and block minimum mean square error, it realizes a parallel equalizer by adaptively adjusting the tap-weight vector. From numeric analysis and simulation, it is manifested that our scheme for quadrature phase-shift keying (QPSK) communication systems can achieve fast parallel equalization at the cost of less than 3 dB BER performance loss than the theoretic BER performance under low Eb/No (Eb/No is less than 10 dB) when the channel condition is rather severe. Therefore, it can be used to overcome the speed limitation of hardware for designing and implementing parallel blind equalizers especially in digital modems with high data rate.
  • Keywords
    blind equalisers; error statistics; least mean squares methods; quadrature phase shift keying; BER performance; Godard´s constant modulus algorithm; MMSE; QPSK communication systems; bit error rate; minimum mean square error; numeric analysis; parallel blind equalizer; quadrature phase-shift keying; tap-weight vector; Analytical models; Bit error rate; Equalizers; Hardware; Mean square error methods; Numerical simulation; Performance analysis; Performance loss; Phase shift keying; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.261
  • Filename
    4340036