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.
Extraction of Global and Local Micro-Doppler Signature Features From FMCW Radar Returns for UAV Detection
IEEE Transactions on Aerospace and Electronic Systems ; 57 , 2 ; 1351-1360
2021-04-01
1713894 byte
Article (Journal)
Electronic Resource
English
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