IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
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A Study on Effective Identification of Targets Flying in Formation ISAR Images

ISAR 영상을 이용한 효과적인 편대비행 표적식별 연구

  • Received : 2021.10.12
  • Accepted : 2022.01.06
  • Published : 2022.02.28
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Abstract

Monostatic/Bistatic inverse synthetic aperture radar (ISAR) images are two-dimensional radar cross section (RCS) distributions of a target. When there are many targets in a single radar beam, ISAR images are generated with targets overlapped, so it is difficult to perform the targets identification using the trained database. In addition, it is inefficient to perform target identification using only single monostatic and bistatic ISAR images separately because each method has its own advantages and weaknesses. Therefore, this paper analyzes multiple targets identification performances using monostatic/bistatic ISAR images and proposes a method of identification through fusion of two ISAR images. To identify multiple targets, we use image combination technique using trained single target images. Simulation results show effectiveness of proposed method.

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Acknowledgement

본 논문은 부경대학교 자율창의학술연구비 (2021년)에 의하여 연구되었음.

References

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