• DocumentCode
    697905
  • Title

    Adaptive Analytical Simplified Constant Modulus Algorithm: A BSS algorithm for MIMO systems with time-varying environments

  • Author

    Daumont, Steredenn ; Le Guennec, Daniel

  • Author_Institution
    IPSIS Co., Cesson-Sevigne, France
  • fYear
    2009
  • fDate
    24-28 Aug. 2009
  • Firstpage
    313
  • Lastpage
    317
  • Abstract
    An adaptive Analytical Simplified Constant Modulus Algorithm (adaptive-ASCMA) which accomplishes blind source separation and carrier phase recovery is proposed. This algorithm is applied on Multiple Input Multiple Output (MIMO) communication systems and uses some analytical methods to minimize the Simplified Constant Modulus (SCM) cost function. A study was done to find the subspace containing the solution of the minimization problem. With comparable computational complexities, the adaptive ASCMA accomplishes better performances in Bit Error Rate (BER) and Signal to Interference and Noise Ratio (SINR) terms than the adaptive-ACMA with time varying environment.
  • Keywords
    MIMO communication; blind source separation; error statistics; minimisation; BER; MIMO communication systems; SCM cost function; SINR; adaptive analytical simplified constant modulus algorithm; adaptive-ASCMA; bit error rate; blind source separation; carrier phase recovery; minimization problem; multiple input multiple output communication systems; signal to interference and noise ratio; simplified constant modulus cost function; time-varying environments; Abstracts; Nickel; Silicon compounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2009 17th European
  • Conference_Location
    Glasgow
  • Print_ISBN
    978-161-7388-76-7
  • Type

    conf

  • Filename
    7077477