• DocumentCode
    1846704
  • Title

    Using statistical methods to predict link quality in COTS-based fiber optic networks

  • Author

    Harres, Daniel N.

  • Author_Institution
    The Boeing Co., St. Louis, MO, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    14-18 Oct 2001
  • Abstract
    Modern military avionics gigabit/second fiber optic links can be made relatively low-cost as the result of COTS-based VCSEL transceivers. However, such systems quite often consist of large numbers of components, due to multiple bulkhead disconnects and, in addition, must operate over an extended environmental range. These factors create a rich statistical mixture when we attempt to analyse performance. By modeling the statistical distributions of the individual component parameters and combining them using appropriate probabilistic methods, a more precise estimate of performance is achieved. This method is currently in use within Boeing on several aerospace applications. Along with the use of a more precise treatment of the statistical nature of the components, a more complete method of determining loss of link components is proposed
  • Keywords
    military avionics; military communication; optical fibre networks; optical receivers; optical transmitters; probability; semiconductor lasers; statistical analysis; surface emitting lasers; transceivers; COTS-based fiber optic networks; aerospace applications; component parameters; environmental range; fiber optic links; link component loss; link quality; military avionics; multiple bulkhead disconnects; performance estimation; probabilistic methods; statistical distribution modeling; statistical methods; system components; Connectors; Intelligent networks; Modems; Optical fiber networks; Optical fibers; Optical losses; Performance analysis; Probability; Statistical analysis; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems, 2001. DASC. 20th Conference
  • Conference_Location
    Daytona Beach, FL
  • Print_ISBN
    0-7803-7034-1
  • Type

    conf

  • DOI
    10.1109/DASC.2001.963376
  • Filename
    963376