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http://dx.doi.org/10.5515/KJKIEES.2014.25.5.576

A Study on Shell-Shaped Target Classification Using RCS and Fuzzy Classifier  

Lee, Seung-Jae (Department of Electrical Engineering, Pohang University of Science and Technology)
Jung, Sung-Jae (Department of Electrical Engineering, Pohang University of Science and Technology)
Kang, Byung-Soo (Department of Electrical Engineering, Pohang University of Science and Technology)
Na, Hyung-Gi (LIGNEX1)
Kim, Hyun (LIGNEX1)
Kim, Kyung-Tae (Department of Electrical Engineering, Pohang University of Science and Technology)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.25, no.5, 2014 , pp. 576-584 More about this Journal
Abstract
In this paper, a study on the optimization of fuzzy classifier using radar cross section(RCS) values is presented to classify shell-shaped targets. Method of moments(MOM) is exploited to construct RCS database of generic shell-shaped targets in uniform angular intervals. Relative orientations are estimated from various flight scenarios of shell-shaped targets, and associated RCS values are interpolated from the generated RCS database with uniform angular intervals. Initial membership functions are determined using the interpolated RCS values, and particle swarm optimization(PSO) is utilized to optimize the membership functions of the fuzzy classifier in terms of probability of correct classification.
Keywords
Classification; Fuzzy; RCS; PSO;
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