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Proceedings Paper

Design Issues For A Knowledge Based Controller For A Track-While-Scan Radar System
Author(s): Edwin R. Addison
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Paper Abstract

Traditional track-while-scan radar systems use a conventional algorithmic approach to the control function. Typically, a fixed amount of time is allocated to search volumes based on geometry and a uniform division of resources according to some fixed rule. Advancement of radar has introduced many new flexibilities into system components, such as electronically steerable phased arrays which allow practically instantaneous switching, digital and multiple beamforming, increased computing capability which allows maintaining track on very large numbers of targets, etc. Radar system design is more and more software and less hardware oriented. Consequently, additional flexibility is available to the TWS designer. Specifically such decisions as how long to dwell on an individual target, when and how quickly to search certain subvolumes, when to stop looking for a missing target, and so forth, add complexities to the control design. To best optimize and exploit these resources, a real-time expert system can be used. This paper explores the ramifications of using an expert system to perform this task. Specific expert system design issues are addressed.

Paper Details

Date Published: 26 March 1986
PDF: 4 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964140
Show Author Affiliations
Edwin R. Addison, Westinghouse Electric Corporation (United States)

Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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