• DocumentCode
    107824
  • Title

    On the Dirac Delta Approximation and the MGF Method for ASER Analyses of Digital Communications over Fading Channels

  • Author

    Adebola, Eyidayo ; Olabiyi, O. ; Annamalai, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Prairie View A&M Univ., Prairie View, TX, USA
  • Volume
    17
  • Issue
    2
  • fYear
    2013
  • fDate
    Feb-13
  • Firstpage
    245
  • Lastpage
    248
  • Abstract
    Two distinct methods are applied to derive tighter closed-form approximations for the average symbol error rate (ASER) of a multitude of coherent and differentially coherent digital modulations (with/without diversity) in different fading environments. The first approach relies on the Dirac delta function approximation of a generalized function g(x)=xc-1 exp(-ax) to eliminate the need for integration, while the second method exploits a tight exponential-type approximation for the Gaussian probability integral to express the ASER in terms of only the moment generating function (MGF) of received signal-to-noise ratio (SNR) random variable.
  • Keywords
    Gaussian processes; digital communication; fading channels; function approximation; modulation; ASER analysis; Dirac delta function approximation; Gaussian probability integral; MGF method; SNR random variable; average symbol error rate; differentially-coherent digital modulations; digital communications; exponential-type approximation; fading channels; generalized function; moment generating function; received signal-to-noise ratio random variable; Digital modulation; Error probability; Fading; Function approximation; Signal to noise ratio; Dirac delta approximation; moment generating function method; multipath fading channels;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2012.120612.122130
  • Filename
    6397538