• DocumentCode
    1205746
  • Title

    Efficient equalization and symbol detection for 8-PSK EDGE cellular system

  • Author

    Olivier, Jan C. ; Leong, Sang-Yick ; Xiao, Chengshan ; Mann, Karl D.

  • Author_Institution
    Nokia Res. Center, Irving, TX, USA
  • Volume
    52
  • Issue
    3
  • fYear
    2003
  • fDate
    5/1/2003 12:00:00 AM
  • Firstpage
    525
  • Lastpage
    529
  • Abstract
    A new method is presented for channel equalization and symbol detection of an enhanced data rate for Global System for Mobile (GSM) communication and IS-136 evolution (EDGE) cellular system in which eight phase-shift keying (8-PSK) modulation is employed. The new method iteratively minimizes the Euclidean distance between the detected and received signal sequences, with neighbor symbol perturbation to reduce the computational complexity. The new algorithm is computationally efficient and can also be easily implemented into commercial signal processors. Simulation results comparing our method with the reduced-state sequence-estimation (RSSE) method, both with and without set partitioning, are presented.
  • Keywords
    cellular radio; equalisers; multiuser detection; phase shift keying; sequential estimation; time division multiple access; 8-PSK EDGE cellular system; AWGN; Euclidean distance; GSM; Global System for Mobile communication; IS-136 cellular system; RSSE method; additive white Gaussian noise; cellular system; channel equalization; commercial signal processors; computational complexity reduction; neighbor symbol perturbation; phase-shift keying; reduced-state sequence-estimation; set partitioning; signal sequences; simulation results; symbol detection; time-division multiple access; Computational complexity; Euclidean distance; GSM; Mobile communication; Partitioning algorithms; Phase detection; Phase modulation; Phase shift keying; Signal detection; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2003.810991
  • Filename
    1200241