• DocumentCode
    1512771
  • Title

    Class of blind maximal ratio combining methods for digital communication systems

  • Author

    Oh, S.K.

  • Author_Institution
    Sch. of Electron. Eng., Ajou Univ., Suwon, South Korea
  • Volume
    148
  • Issue
    3
  • fYear
    2001
  • fDate
    6/1/2001 12:00:00 AM
  • Firstpage
    139
  • Lastpage
    143
  • Abstract
    Simple iterative methods for blind maximal ratio combining based on a maximum likelihood principle and finite alphabet properties inherent in digital communication systems are presented. These methods can provide accurate estimates of channel parameters even with a small subset of data. The channel parameters and the data sequence are estimated simultaneously. Two methods, the joint combining and data sequence estimation method and the pre-combining and blind phase estimation method, are presented. Efficient initialisation schemes that can assure the convergence to the global optimum are presented. Simulation results demonstrate the performance of the two methods in terms of the symbol error rate and the estimated accuracy of the channel parameters
  • Keywords
    convergence of numerical methods; digital radio; diversity reception; error statistics; iterative methods; maximum likelihood estimation; optimisation; phase estimation; quadrature amplitude modulation; telecommunication channels; 16-QAM; 4-QAM; MLE; blind maximal ratio combining methods; channel parameters estimation; convergence; data sequence; digital communication systems; estimated channel parameters accuracy; finite alphabet properties; global optimum; initialisation schemes; iterative algorithms; iterative methods; joint combining-data sequence estimation; maximum likelihood principle; performance; pre-combining-blind phase estimation; simulation results; symbol error rate;
  • fLanguage
    English
  • Journal_Title
    Communications, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2425
  • Type

    jour

  • DOI
    10.1049/ip-com:20010176
  • Filename
    935783