• DocumentCode
    2985311
  • Title

    EXNAV: an intelligent sensor integrator

  • Author

    Hui, PatrickJ ; Nayak, Amiya R.

  • Author_Institution
    Canadian Marconi Co., Kanata, Ont., Canada
  • fYear
    1988
  • fDate
    23-27 May 1988
  • Firstpage
    1214
  • Abstract
    The authors describe the architecture and design of the EXNAV intelligent system that is under development for integrating various navigation sensors with different performance characteristics for an optimal navigation solution. EXNAV, which mixes reasoning with conventional processing for problem solving, consists of an executive and a set of cooperating mini-experts, each responsible for a particular sensor. Using classical Kalman filter algorithm, EXNAV combines all sensor information based on the best sensor configuration. In addition, it provides facilities for sensor-level diagnosis, reconfiguration, and monitoring. Each mini-expert has specialized knowledge about the diagnostics and procedures associated with a particular sensor. The knowledge engineering approach involved in the EXNAV design is discussed
  • Keywords
    aerospace computing; aircraft instrumentation; electric sensing devices; expert systems; radionavigation; EXNAV intelligent system; classical Kalman filter algorithm; intelligent sensor integrator; knowledge engineering approach; mini-experts; monitoring; navigation sensors; optimal navigation; problem solving; radionavigation; reconfiguration; sensor-level diagnosis; Aerospace electronics; Artificial intelligence; Global Positioning System; Intelligent sensors; Intelligent systems; Monitoring; Problem-solving; Radio navigation; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National
  • Conference_Location
    Dayton, OH
  • Type

    conf

  • DOI
    10.1109/NAECON.1988.195160
  • Filename
    195160