Command Control and Simulation >
Enlightenment and Development of Unmanned Aerial Vehicle Swarm Abroad
Received date: 2021-08-21
Request revised date: 2021-11-25
Online published: 2022-04-28
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With the rapid development of multi-agent collaboration, unmanned swarm systems, network centric warfare and other technologies, future operations will face supersaturated and intelligent UAV swarm cooperative attacks. By analyzing the characteristics of unmanned aerial vehicle swarm and the development of unmanned aerial vehicle swarm technology abroad, this paper studies the combat style of unmanned aerial vehicle swarm at sea. It also puts forward some enlightenment for the development of unmanned aerial vehicle swarm at sea in the future.
SUN Hai-wen , PANG Wei , YU Shao-zhen , QIU Qian-jun , LI Liang , LUAN Wei-xian , CAI Kan , WAN Dong-yang , YE Fan . Enlightenment and Development of Unmanned Aerial Vehicle Swarm Abroad[J]. Command Control and Simulation, 2022 , 44(2) : 1 -6 . DOI: 10.3969/j.issn.1673-3819.2022.02.001
| [1] |
钮伟, 黄佳沁, 缪礼锋. 无人机蜂群对海作战概念与关键技术研究[J]. 指挥控制与仿真, 2018, 40(1): 20-25.
|
| [2] |
耿文东, 王元钦, 刘红娅, 等. 群目标等效量测形成算法研究[J]. 装备指挥技术学院学报, 2007, 18(4): 102-105.
|
| [3] |
刘红, 耿文东. 基于模式空间的群目标合并与分离方法研究[J]. 无线电工程, 2010, 40(2): 53-56.
|
| [4] |
耿文东. 基于群目标几何中心的群起始算法研究[J]. 系统工程与电子技术, 2008, 30(2): 269-272.
|
| [5] |
连峰, 元向辉, 陈辉. 基于势概率假设密度滤波器的不可分辨目标跟踪算法[J]. 系统工程与电子技术, 2013, 35(12): 2445-2451.
|
| [6] |
|
| [7] |
姜俊新. 无人机蜂群对防空作战的威胁与对策[J]. 国防科技, 2019, 40(6): 108-113.
|
| [8] |
李昌玺, 周焰, 郭戈, 等. 弹道导弹群目标跟踪技术综述[J]. 战术导弹技术, 2015, 35(3): 66-73.
|
| [9] |
杜明洋, 毕大平, 王树亮. 群目标跟踪关键技术研究进展[J]. 电光与控制, 2019, 26(4): 59-65.
|
| [10] |
甘林海, 王刚, 刘进忙, 等. 群目标跟踪技术综述[J]. 自动化学报, 2020, 46(3): 411-426.
|
| [11] |
杜浩, 韩超. 无人机指控平台信息接入系统的发展研究[J]. 航空电子技术, 2020, 51(3): 13-17.
|
| [12] |
顾海燕, 美军无人机集群作战的发展启示[J]. 电讯技术, 2018, 58(7): 865-870.
|
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