• DocumentCode
    1106347
  • Title

    Maximum-likelihood symbol synchronization and detection of OPPM sequences

  • Author

    Patarasen, S. ; Georghiades, Costas N.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX
  • Volume
    42
  • Issue
    6
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    2282
  • Lastpage
    2290
  • Abstract
    For an optical Poisson channel, we consider the problem of symbol synchronization and detection of chip-synchronized, random overlapping pulse-position modulation (OPPM) sequences. Maximum-likelihood algorithms are derived for both synchronization and detection and for soft and hard data, and their performances are evaluated through simulations and an upper bound on the symbol detection and symbol synchronization probabilities. As for the case of pulse-position modulation previously studied, it is seen that a performance ceiling exists when only chip synchronization is present, which can be removed through the periodic insertion of synchronizable symbols in the random data stream
  • Keywords
    maximum likelihood estimation; optical modulation; pulse position modulation; signal detection; stochastic processes; synchronisation; telecommunication channels; OPPM sequence; chip-synchronized sequences; hard data; maximum-likelihood algorithms; maximum-likelihood symbol detection; maximum-likelihood symbol synchronization; optical Poisson channel; pulse-position modulation; random data stream; random overlapping sequences; simulations; soft data; symbol detection probability; symbol synchronization probability; upper bound; Communications Society; Maximum likelihood detection; Optical fiber communication; Optical modulation; Optical pulses; Performance evaluation; Pulse modulation; Senior members; Throughput; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.293680
  • Filename
    293680