• DocumentCode
    2157981
  • Title

    Linear IIR-MMSE precoding for frequency selective MIMO channels

  • Author

    Wahls, Sander ; Boche, Holger

  • Author_Institution
    Lehrstuhl fur Theor. Informationstechnik, Tech. Univ. Munchen, Munich, Germany
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3264
  • Lastpage
    3267
  • Abstract
    We consider the design of linear precoding filters with respect to the minimum mean square error (MMSE) criterion for systems that employ an additional scalar gain next to a fixed receive filter. The precoding filter and the scalar gain are to be jointly optimized. Currently, only the finite impulse response (FIR) solution to this problem is known. The goal of this paper is to derive the infinite impulse response (IIR) MMSE precoder both with and without causality constraint, i.e., finite and infinite latency time, respectively. We discuss the role of the scalar gain and its relationship to automatic gain control (AGC). We also show that causal precoding requires that the joint first arrival delay of channel and receive filter is not larger than the latency time, and that the IIR-MMSE precoder enjoys the same advantages over the FIR-MMSE precoder as the IIR-MMSE equalizer does over the FIR-MMSE equalizer, viz.: improved performance and no need for latency time optimization.
  • Keywords
    FIR filters; IIR filters; MIMO communication; automatic gain control; channel coding; equalisers; least mean squares methods; linear codes; precoding; FIR filter; IIR-MMSE equalizer; MMSE criterion; automatic gain control; finite impulse response filter; fixed receive filter; frequency selective MIMO channels; infinite impulse response precoder; joint first arrival delay; latency time optimization; linear IIR-MMSE precoding; linear precoding filters; minimum mean square error criterion; scalar gain; Delay; Equalizers; Finite impulse response filter; Gain control; Noise; Optimized production technology; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946718
  • Filename
    5946718