• DocumentCode
    1465261
  • Title

    Blind receivers for nonlinearly modulated signals in multipath

  • Author

    Cirpan, Hakan A. ; Tsatsanis, Michail K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • Volume
    47
  • Issue
    2
  • fYear
    1999
  • fDate
    2/1/1999 12:00:00 AM
  • Firstpage
    583
  • Lastpage
    586
  • Abstract
    Classical blind channel equalization methods may not be suitable for systems with nonlinear modulation (e.g., continuous phase-modulated signals) because the input to the channel may not be i.i.d. due to the modulator´s memory. Moreover, the nonlinear characteristics of the modulator further complicate the channel estimation task. In this correspondence, we derive blind maximum likelihood channel estimation algorithms for nonlinearly modulated signals using a hidden Markov model (HMM) formulation. The proposed method implements a stochastic maximum likelihood approach and is well suited for short data records appearing in TDMA systems. Cramer-Rao bounds are derived, and some illustrative simulations are presented
  • Keywords
    blind equalisers; continuous phase modulation; hidden Markov models; maximum likelihood estimation; multipath channels; Cramer-Rao bounds; HMM; TDMA systems; blind channel equalization; blind maximum likelihood channel estimation algorithms; blind receivers; channel estimation; continuous phase-modulated signals; hidden Markov model; multipath; nonlinear modulation; nonlinearly modulated signals; stochastic maximum likelihood approach; Blind equalizers; Channel estimation; Clustering algorithms; Continuous phase modulation; Hidden Markov models; Maximum likelihood estimation; Phase modulation; Pulse modulation; Pulse shaping methods; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.740148
  • Filename
    740148