Extraction of Global and Local Micro-Doppler Signature Features From FMCW Radar Returns for UAV Detection

被引：20

作者：

Oh, Beom-Seok ^{[1
]}

Lin, Zhiping ^{[2
]}

机构：

[1] Gyeongsang Natl Univ, Dept Comp Sci, Jinju 52828, South Korea

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2021年 / 57卷 / 02期

关键词：

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;

D O I：

10.1109/TAES.2020.3034020

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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.

引用

页码：1351 / 1360

页数：10

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