• DocumentCode
    703365
  • Title

    Symbol-by-symbol mobile radio channel equalization using the MN classifier

  • Author

    Savazzi, Pietro ; Favalli, Lorenzo ; Costamagna, Eugenio ; Mecocci, Alessandro

  • Author_Institution
    Dipart. di Elettron., Univ. di Pavia, Pavia, Italy
  • fYear
    1998
  • fDate
    8-11 Sept. 1998
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper illustrates an implementation of a GSM receiver in which channel equalization and demodulation are realised by means of the Nearest Neighbor (NN) classifier algorithm. The most important advantage in using such techniques is the significant reduction in terms of computational complexity compared with the MLSE equalizer. No explicit channel estimation need be carried out, and the whole process involves a simple symbol-by-symbol decision procedure. The performance of the proposed receiver, evaluated through a channel simulator for mobile radio communications, is compared with the results obtained by means of a 16 states Viterbi algorithm and other sub-optimal receivers. Despite the simplicity of the receiver, performance degradation is kept within the limits imposed by the GSM specifications.
  • Keywords
    cellular radio; computational complexity; demodulation; maximum likelihood sequence estimation; wireless channels; GSM receiver; MLSE equalizer; Viterbi algorithm; channel simulator; computational complexity; demodulation; k-NN classifier; mobile radio channel equalization; mobile radio communications; nearest neighbor classifier algorithm; performance degradation; suboptimal receivers; symbol-by-symbol decision procedure; Channel estimation; Classification algorithms; GSM; Land mobile radio; Maximum likelihood estimation; Receivers; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO 1998), 9th European
  • Conference_Location
    Rhodes
  • Print_ISBN
    978-960-7620-06-4
  • Type

    conf

  • Filename
    7089836