Please wait a minute...
空天防御  2024, Vol. 7 Issue (3): 34-39    
0
  战略与体系研究 本期目录 | 过刊浏览 | 高级检索 |
俄乌无人机攻防作战对反无装备发展的启示
张要一1, 李宁2
1. 上海战冠科技有限公司,上海 200434; 2. 上海机电工程研究所,上海 201109
The Enlightenment for the Development of Anti-UAV Equipment from the Offensive and Defensive Operations of UAVs Between Russian and Ukrainian
ZHANG Yaoyi1, LI Ning2
1. Shanghai Zhanguan Technology Co., Ltd., Shanghai 200434, China; 2. Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
全文: PDF(924 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 根据俄乌双方在冲突中采用无人机攻防作战的情况,研究未来应对以无人机为代表的新型空中威胁的方法。通过梳理俄乌双方投入的无人机整体概况,总结双方运用各类无人机构建一体化侦察与进攻体系的方法;从应对无人机威胁角度出发,系统梳理双方投入的反无人机装备整体概况,总结双方运用各种软硬杀伤手段构建一体化反无人机体系的方法。基于战争实践经验,并结合美军等强敌对无人机、反无人机装备的发展情况,提出未来反无人机装备发展的若干启示与建议。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
关键词 俄乌冲突无人机反无人机装备启示    
Abstract:According to the offensive and defensive operations of UAVs (Unmanned Aerial Vehicles) in the conflict between Russia and Ukraine, the methods of countering new air threats represented by UAVs in the future were studied. By reviewing the overall situation of the UAVs employed by Russia and Ukraine, the methods of using various UAVs to build an integrated reconnaissance and offensive system on both sides were summarized. From the perspective of responding to the UAV threat, this paper elaborated on the overall overview of the anti-UAV equipment employed by both sides and summarized the methods of building an integrated anti-UAV system using various soft and hard killing methods. According to the practical experience of warfare, considering the development of strong hostile UAVs and anti-UAV equipment such as the US military, enlightenment and suggestions for the future development of anti-UAV equipment were proposed.
Key wordsRussian-Ukrainian conflict    unmanned aerial vehicle(UAV)    anti-UAV equipment    enlightenment
收稿日期: 2024-03-14      出版日期: 2024-07-25
:  V 279  
作者简介: 张要一(1979—),男,博士,工程师。
引用本文:   
张要一, 李宁. 俄乌无人机攻防作战对反无装备发展的启示[J]. 空天防御, 2024, 7(3): 34-39.
ZHANG Yaoyi, LI Ning. The Enlightenment for the Development of Anti-UAV Equipment from the Offensive and Defensive Operations of UAVs Between Russian and Ukrainian. Air & Space Defense, 2024, 7(3): 34-39.
链接本文:  
https://www.qk.sjtu.edu.cn/ktfy/CN/      或      https://www.qk.sjtu.edu.cn/ktfy/CN/Y2024/V7/I3/34

参考文献
[1] 刘源渊, 周蕾梅, 李昊, 高子义. 面向无人自主空战的编队飞行控制方法综述[J]. 空天防御, 2024, 7(4): 47-58.
[2] 李徐, 董伟, 杜泽弘. 复杂环境约束下的飞行航路规划研究[J]. 空天防御, 2024, 7(4): 99-105.
[3] 焦聪, 许兆胜, 李威, 田道贵, 陈炼, 赵征. 针对分布式集群的空中诱骗对抗方法[J]. 空天防御, 2024, 7(4): 114-120.
[4] 王乐庭, 黄俊松, 麻仕豪, 张晨璐, 戴杰. 水面舰艇反无人机技术发展研究[J]. 空天防御, 2024, 7(4): 121-126.
[5] 全家乐, 马先龙, 沈昱恒. 基于近端策略动态优化的多智能体编队方法[J]. 空天防御, 2024, 7(2): 52-62.
[6] 罗统, 张民, 梁承宇. 多无人机协同目标跟踪制导律设计[J]. 空天防御, 2023, 6(3): 113-118.
[7] 聂瑞, 王红茹. 基于神经网络观测器的无人机编队执行器故障诊断[J]. 空天防御, 2022, 5(2): 32-41.
[8] 罗菁, 张逸楠. 基于改进Grey-AHP的察打一体无人机作战效能评估方法[J]. 空天防御, 2022, 5(2): 1-7.
[9] 王克帆, 邱潇颀, 高长生, 荆武兴. 临近空间太阳能无人机横航向变质心控制技术[J]. 空天防御, 2021, 4(4): 29-36.
[10] 吴诗辉, 贾军, 鲍然, 周宇, 夏青元. 面向集群对抗的多弹协同目标分配模型与仿真分析[J]. 空天防御, 2021, 4(3): 1-9.
[11] 刘西, 李贤, 陈伟, 从光涛, 李如飞. 基于NSGA-Ⅲ算法的多目标分配方法研究[J]. 空天防御, 2021, 4(1): 109-116.
[12] 梁烽杨, 杨毅钧, 刘功龙, 万兵, 高王升. 多无人机系统协同侦察规划算法研究[J]. 空天防御, 2021, 4(1): 103-108.
[13] 王程, 倪旖, 李亮, 郭正勇, 陈兵. 针对小型商业无人机的预警技术发展现状与思考[J]. 空天防御, 2021, 4(1): 83-90.
[14] 刘晨, 谢宝娣, 董国宝, 霍达, 段雨昕, 夏川. 基于自适应积分滑模的无人机编队控制器设计[J]. 空天防御, 2021, 4(1): 65-70.
[15] 李征, 陈建伟, 彭博. 基于伪谱法的无人机集群飞行路径规划[J]. 空天防御, 2021, 4(1): 52-59.
沪ICP备15013849号-1
版权所有 © 2017《空天防御》编辑部
主管单位:中国航天科技集团有限公司 主办单位:上海机电工程研究所 上海交通大学出版社有限公司