• DocumentCode
    3389083
  • Title

    Hierarchical MMSE linear equalization for multilayer coded modulation

  • Author

    Zhang, Lin ; Yang, Liu ; Li, Lu ; Zhang, Zhongpei

  • Author_Institution
    Nat. Key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2009
  • fDate
    23-25 July 2009
  • Firstpage
    164
  • Lastpage
    168
  • Abstract
    A communication system using multilayer coded modulation is introduced to detail the basic principles of hierarchical combined equalization based on linear minimum mean square error (MMSE) algorithm. A simplified hierarchical equalizer´s extrinsic information of base-layer for 4-QAM multilayer coded modulation is presented. A new hierarchical equalization method of base layer is applied to multilayer modulation. Simulation results show that compared with conventional equalization method, the proposed hierarchical equalization method works effectively for multilayer coded modulation and the simplified equalizer´s extrinsic information algorithm is able to reduce the calculation complexity degrees of equalizer´s extrinsic information without the loss of BER performance.
  • Keywords
    channel coding; computational complexity; equalisers; error statistics; interference suppression; intersymbol interference; least mean squares methods; modulation coding; quadrature amplitude modulation; 4-QAM multilayer coded modulation; BER; channel coding; communication system; computational complexity; hierarchical MMSE linear equalization; inter-symbol interference elimination; minimum mean square error algorithm; Constellation diagram; Equalizers; Interference; Iterative decoding; Iterative methods; Mean square error methods; Modulation coding; Nonhomogeneous media; Performance loss; Quadrature phase shift keying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
  • Conference_Location
    Milpitas, CA
  • Print_ISBN
    978-1-4244-4886-9
  • Electronic_ISBN
    978-1-4244-4888-3
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2009.5250524
  • Filename
    5250524