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    面向空地协同的有/无人系统自主传输技术

    Self-organizing Transmission in Air-Ground Collaborative Manned-Unmanned Systems

    • 摘要: 多无人机协助下的有人– 无人联合系统已被视为未来智能化战争体系的重要环节. 为提升任务驱动下有/无人协同系统的自主传输能力, 梳理了城市、丛林、山地等空地协同典型场景, 从联合部署建链、联盟指挥控制架构、频谱协调共享、数据多模传输等方面展开讨论. 联合部署建链保障系统内多节点的互联互通, 联盟指挥控制架构支撑任务驱动下的系统划分和组合, 频谱协调共享实现系统不同联盟间的资源协调与联盟内频谱接入, 数据多模传输提供有/无人系统灵活的协同传输方式. 面向复杂战场环境和频谱态势挑战, 阐述空地有/无人协同通信系统传输的分布式、鲁棒性、动态适变和可扩展性优化需求, 并对潜在可行的离线学习和在线感知决策优化方法展开讨论.

       

      Abstract: The multi-manned-unmanned joint system has been regarded as an important part of the future intelligent warfare system. To improve the self-organizing transmission capabilities of the mission-driven manned-unmanned combat systems, typical air-ground collaboration scenarios such as cities, jungles, and mountains are sorted out, and research aspects including the deployment of link construction, coalition command structure, coordinated spectrum sharing, multi-mode data transmission, etc., are discussed. The joint deployment of link construction guarantees the interconnection of multiple nodes in the system. The coalition command structure supports the division and combination of systems driven by tasks. Coordinated spectrum sharing realizes resource coordination between di erent coalitions and spectrum access within coalitions. Multi-mode data transmission provides flexible cooperative transmission methods of manned-unmanned systems. Facing the challenges of complex battlefield environment and spectrum situation, the distributed, robust, dynamic adaptability, and scalability optimization requirements of the air-to-ground manned-unmanned communication system transmission are elaborated. Finally, potential oine learning methods and online perception decision-making optimization methods for manned-unmanned communication systems are analyzed.

       

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