Title :
Artificial intelligence techniques for enhanced tracking performance VTS radars
Author :
Bhattacharya, Tarun K. ; Scarlett, Peter ; Gautier, Charles
Author_Institution :
Dept. of Adv. Syst. Dev., Raytheon Canada Ltd., Waterloo, Ont., Canada
Abstract :
This paper describes a prototype tracker that incorporates artificial intelligence (AI) procedures to improve tracking performance. The specific application area is the vessel traffic services (VTS) systems. VTS systems are operated by experienced marine traffic regulators (MTRs) who must use a variety of information to resolve automatic tracker errors. It is shown that proper cueing by an expert system enables the tracker to manage situations that can lead to problems for trackers without AI. The detail of the architecture of the AI tracker is presented. The paper concludes by presenting some results on real-life data from an operational VTS radar
Keywords :
expert systems; intelligent control; radar applications; radar tracking; radionavigation; ships; traffic control; AI tracker architecture; VTS radars; VTS systems; artificial intelligence techniques; automatic tracker errors; expert system; prototype tracker; radar navigation; tracking performance; vessel traffic services; Artificial intelligence; Ice; Navigation; Prototypes; Radar clutter; Radar signal processing; Radar tracking; Regulators; Target tracking; Weather forecasting;
Conference_Titel :
Radar Conference, 1996., Proceedings of the 1996 IEEE National
Conference_Location :
Ann Arbor, MI
Print_ISBN :
0-7803-3145-1
DOI :
10.1109/NRC.1996.510665