• DocumentCode
    1509504
  • Title

    Maximum likelihood blind channel estimation in the presence of Doppler shifts

  • Author

    Cirpan, Hakan A. ; Tsatsanis, Michail K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • Volume
    47
  • Issue
    6
  • fYear
    1999
  • fDate
    6/1/1999 12:00:00 AM
  • Firstpage
    1559
  • Lastpage
    1569
  • Abstract
    Transmitter/receiver motion in mobile radio channels may cause frequency shifts in each received path due to Doppler effects. Most blind equalization methods, however, assume time-invariant channels and may not be applicable to fading channels with severe Doppler spread. We address the problem of simultaneously estimating the Doppler shift and channel parameters in a blind setup. Both deterministic and stochastic maximum likelihood methods are developed and iterative solutions proposed. The stochastic maximum likelihood solution is based on the modified version of the Baum-Welch (1970) algorithm, which originated in the study of hidden Markov models. The proposed methods are well suited for short data records appearing in TDMA systems. Identifiability and performance analysis issues are discussed, and Cramer-Rao bounds are derived. In addition, some illustrative simulations are presented
  • Keywords
    Doppler shift; adaptive antenna arrays; adaptive estimation; blind equalisers; fading channels; hidden Markov models; iterative methods; land mobile radio; maximum likelihood estimation; multipath channels; radio receivers; radio transmitters; stochastic processes; time division multiple access; Cramer-Rao bounds; Doppler shift estimation; Doppler spread; TDMA systems; adaptive equalizers; blind equalization methods; channel parameters; deterministic maximum likelihood method; fading channels; frequency shifts; hidden Markov models; identifiability; iterative solutions; maximum likelihood blind channel estimation; mobile radio channels; modified Baum-Welch algorithm; multipath; performance analysis; short data records; simulations; stochastic maximum likelihood method; time-invariant channels; transmitter/receiver motion; Blind equalizers; Doppler effect; Fading; Frequency; Hidden Markov models; Land mobile radio; Maximum likelihood estimation; Radio transmitters; Receivers; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.765125
  • Filename
    765125