• DocumentCode
    1316412
  • Title

    Moment Generating Function for the Rigorous Performance Assessment of Direct-Detection Baseband OFDM Communication Systems

  • Author

    Rebola, João L. ; Cartaxo, Adolfo V T

  • Author_Institution
    Inst. de Telecomun., Lisbon, Portugal
  • Volume
    30
  • Issue
    23
  • fYear
    2012
  • Firstpage
    3617
  • Lastpage
    3626
  • Abstract
    A new moment generating function (MGF) is proposed to assess rigorously the performance of optically preamplified receivers with direct-detection employing baseband orthogonal frequency division multiplexing (OFDM). By comparison with Monte Carlo simulation, the proposed MGF-based method shows very good accuracy when predicting the bit error probability for arbitrary optical and electrical filters, different numbers of OFDM subcarriers, and double sideband and single sideband optical OFDM signals. Its good accuracy when estimating the bit error probability in each individual subcarrier is also demonstrated. The new MGF-based method exhibits a significant improvement of accuracy when compared to the MGF-based method previously reported in the literature, especially for filter bandwidths not exceeding the OFDM signal bandwidth, which is the range corresponding to the optimum filter bandwidth.
  • Keywords
    OFDM modulation; error statistics; optical filters; optical receivers; OFDM subcarriers; arbitrary optical filter; bit error probability; direct-detection baseband OFDM communication systems; double sideband optical OFDM signal; electrical filter; moment generating function; optically preamplified receivers; orthogonal frequency division multiplexing; rigorous performance assessment; single sideband optical OFDM signal; Adaptive optics; Noise; OFDM; Optical filters; Optical receivers; Optical transmitters; Direct-detection receivers; moment generating function; optical communications; orthogonal frequency division multiplexing (OFDM);
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2012.2224639
  • Filename
    6329918