Title :
EXNAV: an intelligent sensor integrator
Author :
Hui, PatrickJ ; Nayak, Amiya R.
Author_Institution :
Canadian Marconi Co., Kanata, Ont., Canada
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;
Conference_Titel :
Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National
Conference_Location :
Dayton, OH
DOI :
10.1109/NAECON.1988.195160
