• DocumentCode
    891576
  • Title

    Coding for the discretely phase ambiguous additive white Gaussian channel

  • Author

    Alles, Michael ; Pasupathy, Subbarayan

  • Author_Institution
    Dept. of Electr. Eng., Toronto Univ., Ont., Canada
  • Volume
    39
  • Issue
    2
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    347
  • Lastpage
    357
  • Abstract
    Communication over the additive white Gaussian channel, subject to a discrete phase ambiguity at the receiver, is considered. When this phase ambiguity is considered as a discretely distributed random variable, the channel is termed the acoherent additive white Gaussian (AAWG) channel. It is shown that the optimum decoder for the AAWG channel is not practically implementable and a suboptimum decoder that is asymptotically optimum at high signal-to-noise ratio is developed. The low signal-to-noise ratio performance of the suboptimum decoder is also examined. By considering the structural possibilities for this decoder, it is shown that one implementation leads to rotationally invariant codes. Other implementations, based on a rotationally disjoint property, lead to a variety of solutions that offer a general framework for communication over this channel. Some of these solutions use a parallel receiver configuration. Various solutions are compared in terms of implementation and performance
  • Keywords
    decoding; encoding; finite state machines; telecommunication channels; white noise; AAWG channel; acoherent additive white Gaussian channel; additive white Gaussian channel; asymptotically optimum; coding; communication; discrete phase ambiguity; discretely distributed random variable; finite state machine; high signal-to-noise ratio; low signal-to-noise ratio; optimum decoder; parallel receiver configuration; rotationally disjoint codes; rotationally invariant codes; suboptimum decoder; Amplitude modulation; Decoding; Gaussian channels; Narrowband; Phase locked loops; Phase modulation; Quadrature amplitude modulation; Random variables; Signal to noise ratio; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.212266
  • Filename
    212266