연구실적 · 국내전문학술지

적응형 압축센싱 기반의 드론 SAR 시스템을 이용한 저피탐 은폐물 탐지

Buried Low RCS Target Detection Using Drone-Based SAR System Based on Adaptive Compressive Sensing Algorithm

구분

국내전문학술지

저자

천형일, 조휘정, 반인모, 이우경

게재지

한국전자파학회논문지

권/호/쪽

32권 11호, 990–1001쪽

연도

2021

오픈액세스

예

DOIPDF

초록

SAR uses radio waves to detect targets in all-weather conditions, and recent developments enable drone-based SAR systems to detect low-RCS targets hidden in vegetation. In drone SAR, weight constraints limit battery capacity and pulse sampling, degrading image quality. This study enhances the image quality of power-limited drone SAR by applying compressive sensing algorithms. Field experiments demonstrate adaptive detection of low-RCS concealed targets, showing that drone SAR can effectively obtain images of buried or vegetation-hidden targets with the enhanced algorithm.

사이트 원문 표기

@article{Chun_2021,
  title={Buried Low RCS Target Detection Using Drone-Based SAR System Based on Adaptive Compressive Sensing Algorithm},
  volume={32},
  ISSN={2288-226X},
  url={http://dx.doi.org/10.5515/KJKIEES.2021.32.11.990},
  DOI={10.5515/kjkiees.2021.32.11.990},
  number={11},
  journal={The Journal of Korean Institute of Electromagnetic Engineering and Science},
  publisher={Korean Institute of Electromagnetic Engineering and Science},
  author={Chun, Hyung-Il and Jo, Hwi-Jeong and Ban, In-Mo and Lee, Woo-Kyung},
  year={2021},
  month=Nov,
  pages={990–1001}
}

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