• DocumentCode
    3184959
  • Title

    A high-performance reduced-complexity GMSK demodulator

  • Author

    Al-Dhahir, Naofal ; Saulnier, Gary

  • Author_Institution
    GE Corporate R&D Center, Schenectady, NY, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    3-6 Nov. 1996
  • Firstpage
    612
  • Abstract
    A four-state adaptive MLSE demodulator for GMSK modulation (BT=0.3) on AWGN channels is analyzed and simulated. This demodulator uses the linear representation of GMSK signals and achieves the same BER performance as MSK. The channel impulse response coefficients used in the MLSE branch metric calculations are derived in closed form and adapted in a decision-directed mode to offset any performance losses incurred by retaining only one term in the linear representation. The number of states in the MLSE demodulator is reduced to two, at about 0.1 dB performance loss, by preceding it with a whitened matched filter.
  • Keywords
    Gaussian channels; adaptive estimation; computational complexity; estimation theory; matched filters; maximum likelihood estimation; minimum shift keying; mobile communication; signal representation; transient response; AWGN channels; BER performance; GMSK modulation; GMSK signals; MLSE branch metric calculations; channel impulse response coefficients; decision-directed mode; four-state adaptive MLSE demodulator; high-performance reduced-complexity GMSK demodulator; linear representation; maximum likelihood sequence estimation; performance losses; simulation; whitened matched filter; AWGN; Analytical models; Bit error rate; Demodulation; Digital modulation; Fading; Matched filters; Maximum likelihood estimation; Performance loss; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-7646-9
  • Type

    conf

  • DOI
    10.1109/ACSSC.1996.601118
  • Filename
    601118