• DocumentCode
    979750
  • Title

    Multiple-symbol differential detection of GMSK for mobile communications

  • Author

    Abrardo, Andrewa ; Benelli, Giuliano ; Cau, Gianfranco R.

  • Author_Institution
    Dept. of Electron. Eng., Florence Univ., Italy
  • Volume
    44
  • Issue
    3
  • fYear
    1995
  • fDate
    8/1/1995 12:00:00 AM
  • Firstpage
    379
  • Lastpage
    389
  • Abstract
    A new multiple differential detection (MDD) sequence estimator is described which uses a decision feedback for the demodulation of a GMSK signal. This technique is based upon a maximum-likelihood sequence estimation of the transmitted phases rather than on a symbol-by-symbol detection. An upper and a lower bound on the bit error probability of the described detector in the case of an AWGN channel and a two-ray Rayleigh fading channel are derived. The performance of the detection algorithm in a mobile radio communication system is obtained through computer simulation. Comparisons with the coherent detection algorithm show that the proposed detection algorithm is quite attractive both in an AWGN and in a multipath channel
  • Keywords
    Gaussian channels; Rayleigh channels; automatic repeat request; error statistics; estimation theory; fading; land mobile radio; maximum likelihood detection; maximum likelihood estimation; minimum shift keying; multipath channels; sequences; AWGN channel; GMSK; bit error probability; decision feedback; demodulation; detection algorithm; lower bound; maximum-likelihood sequence estimation; mobile communications; multipath channel; multiple differential detection sequence estimator; multiple-symbol differential detection; performance; transmitted phases; two-ray Rayleigh fading channel; upper bound; AWGN; Demodulation; Detection algorithms; Detectors; Error probability; Feedback; Maximum likelihood detection; Maximum likelihood estimation; Phase detection; Phase estimation;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/25.406604
  • Filename
    406604