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http://dx.doi.org/10.5515/KJKIEES.2013.24.2.198

A Study of Fuzzy Inference System Based Task Prioritizations for the Improvement of Tracking Performance in Multi-Function Radar  

Kim, Hyun-Ju (Samsung Thales)
Park, Jun-Young (Samsung Thales)
Kim, Dong-Hwan (Agency for Defense Development)
Kim, Seon-Joo (Agency for Defense Development)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.24, no.2, 2013 , pp. 198-206 More about this Journal
Abstract
This paper presents the improvement of tracking performance using fuzzy inference system based task prioritizations for multi-function radars. The presented technique calculates elemental priorities using track information of a target and obtain the total priority from fuzzy inference system of each fuzzy set's membership function. In this paper, we proposed the task prioritization algorithms based on fuzzy inference system, and evaluated the tracking performance on multi-function radar scenario using it. As a result, we confirmed that excellent performance could be achieved when using the proposed algorithm.
Keywords
Fuzzy Inference System(FIS); Multi-Function Radar; Tracking Performance; Task Prioritization;
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