• DocumentCode
    1559254
  • Title

    A new look at coding for APD-based direct-detection optical channels

  • Author

    Herro, M.A. ; Hu, Laizhao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Notre Dame Univ., IN, USA
  • Volume
    34
  • Issue
    4
  • fYear
    1988
  • fDate
    7/1/1988 12:00:00 AM
  • Firstpage
    858
  • Lastpage
    866
  • Abstract
    Coding for avalanche photodiode (APD)-based direct-detection optical channels is investigated using a simple channel model that clearly points out the difference between the signal-dependent optical noise channel model and additive white Gaussian noise channel model. Coding and modulation are viewed as a single entity and the coding/modulation gain (CMG) is used to analyze and construct good codes for APD-based optical receivers. It is shown that the structure of block codes, when used in conjunction with on-off keying signaling, renders these codes fairly inefficient with respect to obtaining reasonable CMG on the optical channel. In contrast, codes (or modulations) that use fewer channel ones (pulses) than information ones per block can offer substantial CMG on the optical channel. For bandwidth-constrained applications, the authors propose using pulse-position modulation with more than one pulse per word to obtain reasonable CMG while consuming small amounts of bandwidth
  • Keywords
    avalanche photodiodes; encoding; optical communication; pulse position modulation; telecommunication channels; APD-based direct-detection optical channels; additive white Gaussian noise channel; avalanche photodiode; bandwidth-constrained applications; block codes; channel model; coding; coding/modulation gain; modulation; on-off keying signaling; optical receivers; pulse-position modulation; signal-dependent optical noise channel; Additive white noise; Avalanche photodiodes; Bandwidth; Block codes; Modulation coding; Optical modulation; Optical noise; Optical pulses; Optical receivers; Pulse modulation;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.9784
  • Filename
    9784