UAV Countermeasure Technology 无人机对抗反制技术

Introduction:

UAV are unmanned aerial vehicles operated by radio remote control and self-contained program control devices. Compared to manned spacecraft, it has the advantages of small size, high flexibility, low cost and strong environmental adaptability. It is widely used in fields such as surveying and remote sensing, urban management, meteorological forecasting, agricultural breeding, environmental protection, disaster relief, express transportation, news reporting, power inspection, police security and military warfare. The application of drones not only promotes the level of national economy and defence construction, but also improves the quality of people's lives. At the same time, however, it also brings some negative effects. Drones generally have "low, small and slow" target characteristics (i.e. altitude less than 1000m, speed less than 200km/h, RCS less than 2m2). Based on existing radar, optical, acoustic and other detection methods, their detection capabilities for such targets are either very limited or there are unavoidable detection blind spots. As a result, criminals often use drones for illegal intrusions, stealing military secrets, invading personal privacy, disrupting normal order, causing panic among the crowd, and posing great challenges to social stability and police security work. Therefore, what countermeasures can be taken to effectively prevent the illegal intrusion of drones has become a hot and difficult issue that countries are competing to study.
This special session, titled "UAV countermeasure technology: Interference, deception, destruction," aims to counter the security threats posed by drones and to protect national security, social stability and personal privacy.. The session will focus on two core areas: (1) Modeling and generation of interference and deception signals, (2) Evaluation of the effectiveness of interference and deception against drones.

无人机是由无线电遥控设备和自备的程序控制装置操纵的不载人航空器，广泛应用于测绘与遥感、城市管理、气象预报、农业育种、环境保护等领域。无人机的应用不仅提升了国民经济和国防建设的水平，还改善了人们的生活质量。然而，与此同时，它也带来了一些负面影响。无人机通常具有 “低、小、慢” 的目标特性，基于现有的雷达、光学、声学等探测方法，对这类目标的探测能力要么非常有限，要么存在不可避免的探测盲区。因此，犯罪分子常常利用无人机进行非法闯入、窃取军事机密、侵犯个人隐私、扰乱正常秩序、引发人群恐慌等行为，这给社会稳定和警务安保工作带来了巨大挑战。所以，采取何种对策能够有效防范无人机的非法闯入，已成为各国竞相研究的热点和难点问题。
本专题的主题为 “无人机对抗技术：干扰、欺骗、摧毁”，旨在应对无人机带来的安全威胁，维护国家安全、社会稳定以及个人隐私。本次会议将聚焦于两个核心领域：（1）干扰和欺骗信号的建模与生成；（2）针对无人机的干扰和欺骗效果评估。征文主题包括但不限于上述两个内容。

Organizers:

Ding Chen, Xi'an Technological University, China Ding Chen, IEEE Member, is an Associate Professor, PhD Advisor and Assistant Dean currently working at the School of Defence Science & Technology, Xi'an Technological University. His research interests include Radar & EW system design, weapon system measurement and testing. He received the B.S. degree in electrical and information engineering from Xi'an Institute of Technology, Shaanxi, China, in 2004, the M.S. degree in weapon systems and utilization engineering from Xi'an Technological University (XATU), Shaanxi, China, in 2006, and the Ph.D. degree in optical engineering from XATU, Shaanxi, China, in 2020. From 2004 to 2006, he was an assistant engineer at Xi'an North Electro-Optic CO., LTD. From 2009 to 2010, he was a lecturer at the Electrical & Information Department, Xi'an University of Technological Information. From 2010 to 2016, he was a senior engineer at the Radar Design & Research Institute, Xi'an Huang-he electromechanical Co., Ltd.  He is the author of more than 100 papers in Chinese or English. He is also an editorial board member or reviewer for several  Chinese and international journals, such as JOURNAL OF BALLISTICS, Journal of Ordnance Equipment Engineering, Journal of National University of Defense Technology, Journal of Test and Measurement Technology, IEEE Access, IEEE Sensor Journal, IET Signal Processing and Journal of Measurement Science and Instrumentation.

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=rcae2025
Please choose Special Session: UAV Countermeasure Technology