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陆军军事交通学院, 天津 300161
Received:08 October 2022,
Published Online:19 July 2023,
Published:31 May 2023
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Weiwei MU, Binbing HE, Yao QI, et al. Interference Suppressionin Ground Unmanned Equipment Cluster Communication Based on Circular Array[J]. Acta Armamentarii, 2023, 44(5): 1414-1421.
Weiwei MU, Binbing HE, Yao QI, et al. Interference Suppressionin Ground Unmanned Equipment Cluster Communication Based on Circular Array[J]. Acta Armamentarii, 2023, 44(5): 1414-1421. DOI: 10.12382/bgxb.2022.0904.
为解决地面无人装备集群通信过程中出现的通信距离近、易干扰、信号覆盖面小等问题
提出基于环形阵列的干扰零陷方法。通过通道幅相一致性校准
再采用MUSIC算法进行DOA估计确定来向信号
最后采用Capon算法完成数字波束形成
可有效提取有用信号并抑制噪声和干扰。仿真实验结果表明
新方法不仅能够在方位面360°形成多个高增益波束实现集群分布指向
拓展地面无人装备之间的通信距离
而且能够通过检测解析确定干扰并对干扰来波方向进行波束零陷
在空间域有效提高地面无人装备集群组网通信抗干扰能力
并增大信号覆盖范围。所得研究成果为地面无人装备集群组网实现波束形成和干扰抑制提供了有益参考。
To increase communication distance
enlarge signal coverage area
and suppress interference in ground unmanned equipment cluster communication
a new method based on circular array is proposed. By calibrating through channel amplitude-phase consistency
determining signal direction with the MUSIC algorithm
and completing digital beamforming with the Capon algorithm
the method can effectively extract useful signals
suppress noise and interference. Simulation results show that the method can form multiple high-gain beams in the 360° azimuth plane
enable cluster distribution
increase communication distance
and nullify interference. This improves the anti-interference capability of ground unmanned equipment cluster networking communication in the space domain
increasing signal coverage effectively. The research provides a useful reference for beamforming and interference suppression in ground unmanned equipment cluster networking.
王维平 , 李小波 , 杨松 , 等 . 智能化多无人集群作战体系动态适变机制设计方法 [J ] . 系统工程理论与实践 , 2021 , 41 ( 5 ): 1096 - 1106 . DOI: 10.12011/SETP2020-1800 http://doi.org/10.12011/SETP2020-1800 作战体系面临的战场环境与态势存在较强的不确定性和动态变化性,必须从体系能力生成机理要求出发,开展体系对抗条件下的动态适变机制设计,为作战体系结构形式与行为模式合理适变提供支撑.本文针对智能化多无人集群作战体系的典型特征,提出了基于模式切换规则的动态适变机制设计方法,并且构建了设计视图元模型.该方法根据体系的能力领域划分和兵力层次划分,分别在体系,集群,平台三个层次,设计任务流程适变,组织指控柔性和装备功能抗毁等三个方面的动态适变机制.最后以集群行动序列适应性生成机制为例阐释了方法的应用流程和作用.
WANG W P , LI X B , YANG S , et al. Adesign method of dynamic adaption mechanism for intelligent multi-unmanned-cluster combat system-of-systems [J ] . Systems Engineering-Theory & Practice , 2021 , 41 ( 5 ): 1096 - 1106 . (in Chinese)
张超省 , 王健 , 张林 , 等 . 面向复杂障碍场的多智能体系统集群避障模型 [J ] . 兵工学报 , 2021 , 42 ( 1 ): 141 - 150 .
ZHANG C S , WANG J , ZHANG L , et al. A multi-agent system flocking model with obstacle avoidance in complex obstacle field [J ] . Acta Armamentarii , 2021 , 42 ( 1 ): 141 - 150 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2021.01.016 http://doi.org/10.3969/j.issn.1000-1093.2021.01.016 A multi-agent system flocking model with obstacle avoidance in complex obstacle field is established for the obstacle avoidance of robot flock in the ground battlefield. In this model, the complex obstacle is geometrically described with polygon shape, which reduces the probability of channel narrowing or blocking caused by the least circumscribed circle(ball). Based on the artificial potential method, a mathematical model and the solving flow are presented for the interactions between agents, agent and surrounding obstacles, agent and its target. When solving the model, the rejective edge and rejective area of polygon obstacle are determined from the relationship among the outer center of agent and the geometric properties of polygon obstacle, including inner center, outer center and edge, and the capturing edge of polygon obstacle and the temporary target of agent are determined from the relationship among the outer center of agent, the edge of polygon obstacle and the target, thus overcoming the defect that the agent is usually captured by the edge of polygon obstacle. The simulated results show that the proposed model can be used to control the flocking with obstacle avoidance of multi-agent system whether for static target or dynamic target.
王桂胜 , 董淑福 , 黄国策 . 无人系统认知联合抗干扰通信研究综述 [J ] . 计算机工程与应用 , 2022 , 58 ( 8 ): 1 - 11 . DOI: 10.3778/j.issn.1002-8331.2109-0334 http://doi.org/10.3778/j.issn.1002-8331.2109-0334 随着电磁环境日益复杂、敌我对抗态势越发激烈,对无人系统信息传输的可靠性提出了更高的要求,传统节点的认知通信模式已难以适应未来自主化、分布式的宽带联合抗干扰发展趋势。针对无人系统面临的抗干扰低截获通信需求,围绕干扰的检测识别、变换分析和多域抑制等认知抗干扰关键技术展开具体分析,梳理常见的检测估计和分类识别研究现状;对典型干扰类型进行分类建模,总结变换处理过程的方法和问题;并对传统干扰抑制方法和新型干扰抑制方法进行了系统性概述,分析了未知干扰的分类识别、多样干扰的时域消除、分布干扰的联合分离以及协同干扰的优化控制等制约宽带联合抗干扰的关键问题,突出认知抗干扰技术对无人系统通信的重要作用。
WANG G S , DONG S F , HUANG G C . A review of cognitive joint anti-interference communication for unmanned systems [J ] . Computer Engineering and Applications , 2022 , 58 ( 8 ): 1 - 11 . (in Chinese)
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毛明 , 刘勇 , 胡建军 . 坦克装甲车辆综合电子信息系统的总体设计研究 [J ] . 兵工学报 , 2017 , 38 ( 6 ): 1192 - 1202 . DOI: 10.3969/j.issn.1000-1093.2017.06.020 http://doi.org/10.3969/j.issn.1000-1093.2017.06.020 车辆综合电子信息系统(简称车电)是坦克装甲车辆平台信息化的基础和核心,直接影响坦克装甲车辆信息化水平和战术性能。由于对其兼具信息化总体和车电功能系统双重角色的内涵认识不清晰,车电发展受到一定制约。阐明了车电系统本质内涵,得出“坦克装甲车辆综合电子信息系统的关键在于综合”的结论,并通过梳理、分析车电技术的发展进程,凝炼了传感综合、显控综合、席位综合、处理综合与信息综合等重点,提出车电系统的关键技术、总体设计流程及仿真建模方法,为坦克装甲车辆综合电子信息系统发展提供借鉴。
MAO M , LIU Y , HUN J J . Research on the overall design of integrated electronic information system for tanks and armored vehicles [J ] . Acta Armamentarii , 2017 , 38 ( 6 ): 1192 - 1202 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2017.06.020 http://doi.org/10.3969/j.issn.1000-1093.2017.06.020 Integrated electronic information system, which is the basis and core to fulfill the informatization of tanks and armed vehicles, has direct impacts on the platform informatization level and tactical capabilities. The development of integrated electronic information system has been constrained to some extent due to lack of clear understanding on its double role as general informatization unit and vetronics function system. The essential meaning of vetronics system is illustrated, and it is concluded that the electronic information system of tanks and armored vehicles relies on system integration. The history and development process of vetronics technology are reviewed and analyzed, and the important technique points of sensor integration, display and control integration, seat role integration, processing and information integration are discussed and summarized. The key technology, as well as the general design process and modeling simulation method of vetronics system are proposed, which could be considered to provide some useful directions for the evolution of the integrated electronic information system of tanks and armored vehicles. Key
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