• DocumentCode
    1901542
  • Title

    Filterbank precoding for MIMO frequency selective channels: minimum redundancy and equalizer design

  • Author

    Vijaya krishna ; Hari, K.V.S.

  • Author_Institution
    Dept. of ECE, Indian Inst. of Sci., Bangalore, India
  • fYear
    2004
  • fDate
    18-21 July 2004
  • Firstpage
    692
  • Lastpage
    695
  • Abstract
    This paper deals with the problem of designing zero forcing finite impulse response (ZF-FIR) equalizers for multiple input multiple output (MIMO) FIR channels, in a polynomial matrix framework. When channel knowledge is available at the transmitter, a precoding operation, which introduces redundancy, can be performed to enable FIR equalization at the receiver. We derive the expression for the minimum redundancy required to render an arbitrary MIMO channel matrix polynomially invertible. The non-uniqueness of the FIR inverse can be used to design equalizers based on different criteria such as noise minimization, low delay and low complexity. We provide a solution for the equalizer which minimizes the output noise power. Simulation results are provided to demonstrate the effectiveness of the proposed design.
  • Keywords
    FIR filters; MIMO systems; channel bank filters; channel coding; equalisers; polynomial matrices; receivers; transmitters; MIMO channel; ZF-FIR; filterbank precoding; frequency selective channel; multiple input multiple output; polynomial matrix framework; receiver; transmitter; zero forcing finite impulse response equalizer; Delay; Equalizers; Filter bank; Finite impulse response filter; Frequency; Integrated circuit noise; Intersymbol interference; MIMO; Polynomials; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2004
  • Print_ISBN
    0-7803-8545-4
  • Type

    conf

  • DOI
    10.1109/SAM.2004.1503038
  • Filename
    1503038