现代防御技术2026，Vol.54Issue(3)：60-70,11.DOI:10.3969/j.issn.1009-086x.2026.03.006
地空导弹阵地反小型多旋翼无人机检测方法研究
Research on Detection Methods for Countering Small and Micro Rotary-Wing UAVs at Surface-to-Air Missile Sites
摘要
Abstract
This paper aims to study the problems exposed during the Russia-Ukraine conflict,such as the close-range blind area of radar monitoring,difficulty in detecting small multi-rotor unmanned aerial vehicles(UAVs)within 5 km around the position,and vulnerability of the self-defense capability of surface-to-air missile positions when coping with penetration reconnaissance and fire attack guidance by small multi-rotor UAVs.Methods:Three types of signals emitted by small multi-rotor UAVs are collected.FEKO software is adopted to simulate radar cross-section(RCS)patterns of UAVs under radar operation in different frequency bands.The time-frequency domain characteristics of the signals are analyzed,and the feasibility of employing these characteristics for effective detection is demonstrated.Results:The adopted software defined radio(SDR)equipment can successfully intercept and identify the video transmission signals at distances of 100.33 m and 70.129 m from UAVs.By employing the azimuth information provided by SDR,the guidance radar can rapidly detect and track UAVs,which saves 9 min compared with the full-airspace independent search mode of the guidance radar alone,thus verifying the feasibility and practicability of the proposed method.Conclusion:By carrying out analysis and verification,a detection method combining radio frequency(RF)signal monitoring and precise radar positioning is proposed.Real-flight UAV tests are conducted,and SDR equipment is employed for RF signal detection,identification,and bistatic direction finding.The guidance radar utilizes the directional information provided by SDR to achieve precise positioning and tracking of UAVs.关键词
小型多旋翼无人机/RCS/卷积神经网络/软件无线电/微多普勒/地空导弹阵地Key words
small multi-rotor UAV/rader cross-section(RCS)/convolutional neural network/software defined radio/micro-Doppler/surface-to-air missile position分类
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于世胜,王可,孙宇,牛景华..地空导弹阵地反小型多旋翼无人机检测方法研究[J].现代防御技术,2026,54(3):60-70,11.
