空天防御2025，Vol.8Issue(1)：10-16,23,8.
基于微多普勒信号的无人机回波检测技术研究
Research on Radar Detection of Drones Using Micro-Doppler Signals
摘要
Abstract
Recently,the proliferation of drones has driven significant advancements in anti-drone radar systems.However,radar signals produced by the small radar cross-sections(RCS)and low velocities of drones is challenging to detect,especially when obscured by background clutter.This leads to high missed alarm rates and limited detection ranges when using traditional signal-to-noise ratio(SNR)detectors.In this paper,a method transforming the micro-Doppler signals from drones into jet engine modulation(JEM)Doppler signals was proposed.Then,a signal-to-clutter ratio(SCR)detector specifically designed to identify these Doppler signals was introduced.Test results from both a microwave anechoic chamber and outdoor environments demonstrate that micro-Doppler signals are captured in the radar echoes of both quad-rotor and VTOL fixed-wing drones across multiple radar bands.Besides,the SCR detector outperforms the SNR detector,exhibiting better detection stability,higher detection probabilities,and lower missed alarm rates.关键词
反无人机雷达/无人机探测/漏警率/微多普勒/旋翼调制/信杂比Key words
anti-drone radar system/drone detection/missed alarm/micro-Doppler/jet engine modulation(JEM)/signal-to-clutter ratio(SCR)分类
航空航天引用本文复制引用
闫军,顾村锋,孔德永,龚江昆..基于微多普勒信号的无人机回波检测技术研究[J].空天防御,2025,8(1):10-16,23,8.基金项目
湖北省自然科学基金资助项目(2023AFB130) （2023AFB130）
2024年度科技智库青年人才计划(XMSB20240710063) （XMSB20240710063）
中国航天科技集团有限公司上海航天科技创新基金资助项目(SAST2018-007) （SAST2018-007）
