• DocumentCode
    1449141
  • Title

    Adaptive generalised selection-combining receiver over time-varying mobile communication channel

  • Author

    El-Mahdy, Ahmed El-Sayed

  • Author_Institution
    Fac. of Inf. Eng. & Technol. (IET), German Univ. in Cairo, Cairo, Egypt
  • Volume
    6
  • Issue
    1
  • fYear
    2012
  • fDate
    2/1/2012 12:00:00 AM
  • Firstpage
    64
  • Lastpage
    71
  • Abstract
    An adaptive generalised selection-combining (GSC) receiver is proposed for time-varying frequency selective fading channel. The receiver adaptively selects and combines a subset of diversity branches out of the available branches and discards the others. This is performed by comparing the maximum likelihood (ML) metric of each diversity branch with a threshold. The branches that are lower than the threshold are selected and combined using maximal ratio combiner. The proposed adaptive GSC receiver dynamically adjusts the threshold value according to the time variations of the channel. Equalisation and data detection are performed after combining using ML sequence estimation implemented by Viterbi algorithm. The minimum survivor technique is employed to reduce the complexity of the receiver. An upper bound for the probability of error of the proposed receiver is derived. The performance of the proposed adaptive GSC receiver is compared with the performance of different threshold GSC receivers.
  • Keywords
    diversity reception; equalisers; error statistics; fading channels; maximum likelihood estimation; mobile radio; time-varying channels; ML sequence estimation; Viterbi algorithm; adaptive GSC receiver; adaptive generalised selection-combining receiver; channel equalisation; data detection; error probability; maximal ratio combiner; maximum likelihood metric estimation; minimum survivor technique; time-varying frequency selective fading channel; time-varying mobile communication channel; upper bound;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2010.0158
  • Filename
    6152272