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Extraction of Global and Local Micro-Doppler Signature Features From FMCW Radar Returns for UAV Detection
- Authors
- Oh, Beom-Seok; Lin, Zhiping
- Issue Date
- Apr-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- 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
- Citation
- IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, v.57, no.2, pp 1351 - 1360
- Pages
- 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Volume
- 57
- Number
- 2
- Start Page
- 1351
- End Page
- 1360
- ISSN
- 0018-9251
1557-9603
- Abstract
- 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.
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