• DocumentCode
    933508
  • Title

    Solving phase-noise Fokker-Planck equations using the motion-group Fourier transform

  • Author

    Wang, Yunfeng ; Zhou, Yu ; Maslen, David Keith ; Chirikjian, Gregory S.

  • Author_Institution
    Dept. of Mech. Eng., Coll. of New Jersey, USA
  • Volume
    54
  • Issue
    5
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    868
  • Lastpage
    877
  • Abstract
    A quantity of importance in coherent optical communications is the probability density of a filtered signal in the presence of phase noise (PN). The Fokker-Planck(FP) approach has been recognized as a rigorous way to describe these statistical properties. However, computational difficulties in solving these FP equation shave prevented their widespread application. In this paper, we present a new and simple computational solution method based on techniques from noncommutative harmonic analysis on motion groups. This proposed method can easily solve all the PN FP equations with any kind of intermediate frequency filter. We also present a new derivation of PN FP equations from the viewpoint of stochastic processes.
  • Keywords
    Fokker-Planck equation; Fourier transforms; filtering theory; harmonic analysis; optical communication; optical information processing; phase noise; stochastic processes; coherent optical communications; filtered signal; motion-group Fourier transform; noncommutative harmonic analysis; phase-noise Fokker-Planck equations; probability density; stochastic processes; Equations; Fourier transforms; Frequency; Harmonic analysis; Motion analysis; Optical fiber communication; Optical filters; Phase noise; Probability; Stochastic processes; Coherent optical communications; Fokker–Planck (FP) equations; motion groups; phase noise (PN); stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2006.873988
  • Filename
    1632101