• DocumentCode
    1444167
  • Title

    A high-performance reduced-complexity GMSK demodulator

  • Author

    Al-Dhahir, Naofal ; Saulnier, Gary

  • Author_Institution
    GE Corp. Res. & Dev. Centre, Niskayuna, NY, USA
  • Volume
    46
  • Issue
    11
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    1409
  • Lastpage
    1412
  • Abstract
    A four-state adaptive maximum-likelihood sequence estimation (MLSE) Gaussian minimum-shift keying (GMSK) demodulator for modulation (BT=0.3) on AWGN channels is analyzed and simulated. This demodulator uses the linear representation of GMSK signals and achieves near-optimum BER performance. The channel-impulse response used in the MLSE demodulator is initialized to the highest energy component in the linear representation, and then adapted in a decision-directed mode to offset any performance losses incurred by initially ignoring other lower energy (and time-varying) components in the linear representation. The number of MLSE states is reduced to two, at about 0.1-dB performance loss, by implementing a whitening matched filter which concentrates most of the GMSK pulse energy in its two leading samples
  • Keywords
    AWGN channels; Viterbi decoding; adaptive estimation; demodulators; error statistics; matched filters; maximum likelihood sequence estimation; minimum shift keying; AWGN channels; GMSK demodulator; GMSK pulse energy; Gaussian minimum-shift keying; MLSE demodulator; Viterbi algorithm; adaptive maximum-likelihood sequence estimation; channel-impulse response; decision-directed mode; four-state demodulator; high-performance reduced-complexity demodulator; linear representation; near-optimum BER performance; performance losses; whitening matched filter; AWGN channels; Bit error rate; Demodulation; GSM; Intersymbol interference; Matched filters; Maximum likelihood estimation; Narrowband; Performance loss; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.729380
  • Filename
    729380