• DocumentCode
    698146
  • Title

    Approximate full diversity linear equalizers for doubly selective channels

  • Author

    Shenoy, Shakti Prasad ; Ghauri, Irfan ; Slock, Dirk T. M.

  • Author_Institution
    Dept. of Mobile Commun., EURECOM, Sophia Antipolis, France
  • fYear
    2009
  • fDate
    24-28 Aug. 2009
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    It is known that linear minimum mean square error zero-forcing (MMSE-ZF) equalization can achieve full joint multipath-Doppler diversity offered by doubly selective channels [1] when appropriate precoding is applied at the transmitter. However, brute force implementation MMSE-ZF equalizer involves a matrix inversion operation that results in significant computational burden. In order to alleviate this problem, first an iterative implementation of MMSE-ZF equalizer based on polynomial expansion (PE) approximation is proposed. Then, the structure of a matrix involved in this approximation is exploited to reduce the computational complexity of the PE approximation. Simulation results are provided to show that while this approach reduces the computational complexity compared to the brute-force implementation of the MMSE-ZF equalizer, it does not effect the diversity order.
  • Keywords
    diversity reception; equalisers; least mean squares methods; matrix inversion; polynomial approximation; MMSE-ZF equalization; brute force implementation MMSE-ZF equalizer; doubly selective channels; full diversity linear equalizers; linear minimum mean square error zero-forcing equalization; matrix inversion; multipath-Doppler diversity; polynomial expansion approximation; Doppler effect; Equalizers; Lead; Matched filters; Receivers; Signal to noise ratio; Vectors;
  • 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
    7077721