• DocumentCode
    477772
  • Title

    New Concurrent Blind Equalization Algorithm Suitable for High-Order QAM Signals

  • Author

    Zhang, Xing-wang ; Rao, Wei

  • Author_Institution
    Nanchang Inst. of Technol., Nanchang
  • Volume
    2
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    177
  • Lastpage
    181
  • Abstract
    The paper proposes a concurrent scheme for blind equalization suitable for high-order QAM signals; this scheme combines Modified Modulus Algorithm (MCMA) and Decision Directed (DD) algorithm. The proposed algorithm makes full use of the advantages of MCMA and DD algorithm and these two algorithms operate concurrently. Furthermore, in such algorithm a novel rule to control the adjustment of DDpsilas tap weights vector is proposed. Simulation with a time-varying Doppler underwater acoustic channel is used to compare the proposed algorithm with the famous Constant Modulus Algorithm (CMA) and MCMA. The simulation results show that besides the capability of compensating the phase offset, the proposed algorithm has faster convergence rate and lower steady state mean square error.
  • Keywords
    blind equalisers; quadrature amplitude modulation; concurrent blind equalization algorithm; decision directed algorithm; high-order QAM signals; modified modulus algorithm; quadrature amplitude modulation; steady state mean square error; time-varying Doppler underwater acoustic channel; Blind equalizers; Convergence; Cost function; Decision feedback equalizers; Intersymbol interference; Mean square error methods; Paper technology; Quadrature amplitude modulation; Steady-state; Underwater acoustics; blind equalization; decision directed algorithm; modified constant modulus algorithm; underwater acoustic channel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.322
  • Filename
    4666103