• DocumentCode
    2895386
  • Title

    Performance Comparison Among Conventional Selection Combining, Optimum Selection Combining and Maximal Ratio Combining

  • Author

    Kong, Ning

  • Author_Institution
    CarrierComm Inc., Encinitas, CA, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Reference introduced optimum selection combining (OSC) for binary phase shift keyed signals which selects the diversity branch having the maximum a posteriori probability. It performs much closer to maximal ratio combining (MRC) than the conventional selection combining (CSC) which selects the diversity branch having the maximal instantaneous signal power. It is known that these combining techniques have the same diversity order (DO), i.e., the same performance slope (log error probability versus signal-to-noise ratio (SNR) in dB)-the performance variation is the SNR difference (gap) between any two techniques to achieve the same bit error rate (BER). This paper derives closed-form expressions for the SNR gaps among these three combining schemes. The paper also analyzes the asymptotic BER for these three combining schemes as a function of DO for a fixed SNR.
  • Keywords
    diversity reception; error statistics; maximum likelihood estimation; phase shift keying; binary phase shift keyed signal; bit error rate; closed-form expression; diversity order; maximal ratio combining; maximum a posteriori probability; optimum selection combining; signal-to-noise ratio; wireless communication; Bit error rate; Closed-form solution; Communications Society; Costs; Cultural differences; Diversity reception; Error probability; Fading; Power system modeling; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199319
  • Filename
    5199319