On Countermeasures against Cooperative Fly of UAV Swarms

Author:

Zhang Xia1ORCID,Bai Yijie1ORCID,He Kai1

Affiliation:

1. Information System Engineering College, Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Abstract

Aiming at anti Unmanned Aerial Vehicle (UAV) swarm, this paper studies the detection and suppression mechanisms of emergence in cooperative flight. Cooperative fly is one of the critical operations for UAV swarm in both military and civilian utilities, which allows individual UAVs to distributed adjust their velocity to head for a common destination as well as avoid a collision. This process is viewed as the emergence of complex systems. An emergence detection algorithm based on double thresholds is proposed. It simultaneously monitors the cooperative flight process and system connectivity to accurately identify the occurrence, achievement, or failure of cooperative fly, which provides a solid prerequisite for the suppression mechanism. For suppression, in-band radio interference is designed under the constraint of average power, and the effect is modeled from the perspective of degrading the communication performance of the target system. It is found that low-intensity continuous interference can effectively delay the cooperative fly process and has better concealment, while medium-intensity continuous interference can rapidly stop that process. Based on the above analysis, for the first time, two countermeasures for the UAV swarm’s cooperative fly are designed for the operation intent of delay and disruption of the target UAC swarms, respectively. Simulation results show the effectiveness of the countermeasures.

Funder

Equipment Comprehensive Research

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Reference27 articles.

1. Research on the conceptual model of uav hive to sea combat;Wu;Command. Control. Simul.,2022

2. Research on the Concept and Key Technology of UAV Swarm to Sea Warfare;Niu;Command. Control. Simul.,2018

3. UAV Swarm Control: Calculating Digital Pheromone Fields with the GPU;Walter;J. Def. Model. Simul.,2006

4. Ben, C. (2021, November 01). Gremlin Drone Recovered in Mid-Air for the First Time [OL]. Available online: https://newatlas.com/drones/gremlin-drone-recovery-mid-air/.2021.11.

5. Gremlins program successfully retrieves drone in mid-flight;Reilly;Inside Air Force,2021

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal configuration design of heterogeneous swarm for 3-D cooperative detection based on DOP analysis;Ocean Engineering;2024-06

2. Research on cooperative UAV countermeasure strategy based on interception triangle;2023 4th International Conference on Machine Learning and Computer Application;2023-10-27

3. Wild Swarms: Autonomous Drones for Environmental Monitoring and Protection;New Developments and Environmental Applications of Drones;2023-09-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3