ISAR 영상을 이용한 효과적인 편대비행 표적식별 연구
A Study on Effective Identification of Targets Flying in Formation ISAR Images
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
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.
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.
참고문헌 (8)
- C. Ozdemir, "Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithm", pp.299~344 (2012), John Wiley & Sons, Inc
- 차상빈, "모노스태틱", 바이스태틱 ISAR 영상 융합을 통한 표적식별 연구, 2018, pp.16(12), 93~100[DOI]
- M. Weib, "Synchronisation of Bistatic Radar System", IEEE International Geoscience and Remote Sensing Symposium, pp.1750~1753 (2004)
- 이승재, "바이스태틱 ISAR 영상을 이용한 표적식별 성능 분석", 한국전자파학회 논문지, 27(6), pp.566~576 (2016), 한국전자파학회[DOI]
- 차상빈, "편대비행 ISAR 영상 형성을 위한 위상보정 기법 분석", 한국정보기술학회논문지, 16(5), pp.67~74 (2018), 한국정보기술학회[DOI]
- 김민, "편대비행 표적식별을 위한 효과적인 ISAR 영상 합성 방법", 한국전자파학회 논문지, 27(8), pp.758~765 (2016), 한국전자파학회[DOI]
- S. H. Park, "Performance Analysis of the Scenario Based Construction Method for Real Target ISAR Recognition", Progress in Electromagnetics Research, 128, pp.137~151 (2012)
- S. H. Park, "Efficient Classification of ISAR Images Using 2D Fourier Transform and Polar Mapping", IEEE Transactions on Aerospace and Electronic Systems, 51(3), pp.1726~1736 (2015)