• DocumentCode
    624461
  • Title

    Performance analysis of MRC-chirp system over independent and correlated fading channels

  • Author

    Khan, Muhammad Asad ; Rao, R. Kameswara ; Xianbin Wang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Western Univ., London, ON, Canada
  • fYear
    2013
  • fDate
    5-8 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, chirp modulation is proposed to employ in Maximal Ratio Combining (MRC) diversity, referred to as MRCChirp system. Moment generating function (MGF) approach is used to derive easy-to-compute expressions for average bit error probability (ABEP) for two fading situations. Firstly, independent fadings with Rayleigh and Nakagami-m statistics are considered. Next, an exponentially correlated fading environment with Nakagami-m statistics is considered. The ABEP performance of the proposed system is illustrated using analytical expressions and using extensive Monte Carlo simulations. Numerical results show close agreement of analytical work with those of simulations. A discussion of numerical results on the performance of MRC-Chirp system as a function of diversity order L, chirp modulation parameters, and fading parameters is presented.
  • Keywords
    Monte Carlo methods; Nakagami channels; Rayleigh channels; chirp modulation; fading channels; signal processing; ABEP; MGF approach; MRC diversity; MRC-chirp system; Monte Carlo simulations; Nakagami-m statistics; Rayleigh statistics; average bit error probability; chirp signals; correlated fading channels; easy-to-compute expressions; independent fading channels; independent fadings; maximal ratio combining; moment generating function; performance analysis; Chirp; Chirp modulation; Correlation; Error probability; Rayleigh channels; Signal to noise ratio; MRC diversity; Nakagami-m fading; chirp modulation; correlated fading; independent fading;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
  • Conference_Location
    Regina, SK
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-0031-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2013.6567753
  • Filename
    6567753