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http://dx.doi.org/10.5515/KJKIEES.2014.25.10.1062

ISAR Cross-Range Scaling for a Maneuvering Target  

Kang, Byung-Soo (Department of Electronic Engineering, Pohang University of Science and Technology)
Bae, Ji-Hoon (Department of Electronic Engineering, Pohang University of Science and Technology)
Kim, Kyung-Tae (Department of Electronic Engineering, Pohang University of Science and Technology)
Yang, Eun-Jung (Agency for Defense Development)
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Abstract
In this paper, a novel approach estimating target's rotation velocity(RV) is proposed for inverse synthetic aperture radar(ISAR) cross-range scaling(CRS). Scale invariant feature transform(SIFT) is applied to two sequently generated ISAR images for extracting non-fluctuating scatterers. Considering the fact that the distance between target's rotation center(RC) and SIFT features is same, we can set a criterion for estimating RV. Then, the criterion is optimized through the proposed method based on particle swarm optimization(PSO) combined with exhaustive search method. Simulation results show that the proposed algorithm can precisely estimate RV of a scenario based maneuvering target without RC information. With the use of the estimated RV, ISAR image can be correctly re-scaled along the cross-range direction.
Keywords
Cross-Range Scaling(CRS); Inverse-Synthetic Aperture Radar(ISAR) Image; Scale Invariant Feature Transform(SIFT);
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