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초록
In this article, an unmanned aerial vehicles detection system is proposed for an X-band ground-based surveillance frequency modulated continuous wave Doppler radar. Two novel features are directly extracted from the Doppler processing results without a time-frequency analysis. Experimental results on measured radar echo signals show that our system consistently outperforms the state of the art in terms of detection accuracy and computational efficiency.
키워드
Doppler radar; Doppler effect; Radar detection; Feature extraction; Surveillance; Blades; Frequency modulated continuous wave (FMCW) surveillance radar; micro-Doppler signature analysis; unmanned aerial vehicle (UAV); UAV detection; EMPIRICAL-MODE DECOMPOSITION; CLASSIFICATION; BIRDS
- 제목
- Extraction of Global and Local Micro-Doppler Signature Features From FMCW Radar Returns for UAV Detection
- 저자
- Oh, Beom-Seok; Lin, Zhiping
- 발행일
- 2021-04
- 유형
- Article
- 권
- 57
- 호
- 2
- 페이지
- 1351 ~ 1360
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers
- 발행국가
- 미국
- 분량
- 10 페이지
- ISSN
- E 1557-9603
P 0018-9251