• DocumentCode
    345844
  • Title

    Hybrid filtering for per-survivor processing in flat fading channels

  • Author

    Auer, Gunther ; Povey, Gordon J R ; Laurenson, David I.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Edinburgh Univ., UK
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    471
  • Abstract
    Receiver designs for maximum likelihood sequence estimation (MLSE) of BPSK modulated signals transmitted through a flat fading channel are described. This results in a receiver which jointly estimates the channel impulse response and detects the received data sequence. The receiver uses data as well as pilot symbols, embedded in the Viterbi algorithm (VA), referred to as per-survivor processing (PSP). It is demonstrated through simulations that the performance of PSP is very sensitive to the choice of the channel estimation filter. PSP employing a FIR filter to estimate the channel impulse response (CIR) is well examined for fast fading conditions. For modest fading rates however, stability problems due to pilot aided channel estimation occur. When channel estimation is performed using an IIR filter, the receiver shows superior performance for slow fading, while it is not suitable for fast fading. In this paper a hybrid realisation of PSP is proposed, using both a FIR and IIR filter, yielding a receiver suitable for slow and fast fading channels
  • Keywords
    FIR filters; IIR filters; Rayleigh channels; land mobile radio; maximum likelihood sequence estimation; phase shift keying; radio receivers; transient response; BPSK modulated signals; FIR filter; IIR filter; Viterbi algorithm; channel estimation filter; channel impulse response; fast fading conditions; flat fading channels; hybrid filtering; maximum likelihood sequence estimation; per-survivor processing; performance; pilot aided channel estimation; pilot symbols; received data sequence detection; receiver designs; simulations; stability problems; Binary phase shift keying; Channel estimation; Fading; Filtering; Finite impulse response filter; IIR filters; Maximum likelihood detection; Maximum likelihood estimation; Signal design; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 1999. VTC 1999 - Fall. IEEE VTS 50th
  • Conference_Location
    Amsterdam
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-5435-4
  • Type

    conf

  • DOI
    10.1109/VETECF.1999.797179
  • Filename
    797179