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http://dx.doi.org/10.5515/KJKIEES.2016.27.8.758

Efficient Fusion Method to Recognize Targets Flying in Formation  

Kim, Min (Department of Electronic Engineering, Pukyong National University)
Kang, Ki-Bong (Department of Electronic Engineering, Pukyong National University)
Jung, Joo-Ho (Department of Electronic Engineering, Pukyong National University)
Kim, Kyung-Tae (Department of Electronic Engineering, Pukyong National University)
Park, Sang-Hong (Department of Electronic Engineering, Pukyong National University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.27, no.8, 2016 , pp. 758-765 More about this Journal
Abstract
This paper proposes a novel method for the recognition of the inverse synthetic aperture radar(ISAR) image of multiple targets flying in formation. Rather than separating the ISAR image of each target, the proposed method combines an ISAR image obtained by fusing the ISAR images in the training database. Fusion is conducted by optimizing the non-linear problem whose parameters are the aspect angle and the target location. Assuming that the aspect angle is properly estimated, the proposed method estimates the number of the targets and their locations by optimizing the template matching using PSO. In simulations using the F-16 scale model, the efficiency of the proposed method was demonstrated by yielding the ISAR image identical to that of targets in formation.
Keywords
Inverse Synthetic Aperture Radar(ISAR) Image; Particle Swarm Optimization(PSO);
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