• DocumentCode
    801187
  • Title

    Analysis of hybrid selection/maximal-ratio combining in correlated Nakagami fading

  • Author

    Mallik, Ranjan K. ; Win, Moe Z.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi, India
  • Volume
    50
  • Issue
    8
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    1372
  • Lastpage
    1383
  • Abstract
    We present an analysis of a hybrid selection/maximal-ratio combining diversity system over an evenly correlated slow frequency-nonselective Nakagami fading channel, where the correlation coefficient between any pair of the diversity branch gain amplitudes is the same, and all average branch signal-to-noise ratios (SNRs) are equal. In this system, the L branches with the largest instantaneous SNR out of N available branches are selected and combined using maximal-ratio combining. From the joint characteristic function (cf) of the instantaneous branch SNRs, we obtain an expression for the cf of the combiner output SNR as a series of elementary cfs. The expression can be conveniently used to obtain the symbol error probability of coherent detection of different M-ary modulation schemes. We illustrate our methodology using M-ary phase-shift keying as an example.
  • Keywords
    diversity reception; error statistics; fading channels; phase shift keying; M-ary modulation schemes; M-ary phase-shift keying; average branch signal-to-noise ratios; coherent detection; correlated Nakagami fading; correlation coefficient; diversity branch gain amplitudes; hybrid selection/maximal-ratio combining; joint characteristic function; symbol error probability; Cultural differences; Diversity reception; Error probability; Fading; Frequency diversity; Phase shift keying; Rayleigh channels; Signal analysis; Signal to noise ratio; Telephone sets;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2002.801495
  • Filename
    1025509