| 引用本文： |
-
董鹏宇,向新,何林远,等.面向分布式无人作战的智能通信情报侦察ぜ芄辜跋喙丶际酢糐Z)〗[J].电讯技术，2025，（12）：1965 - 1971. [点击复制]
- DONG Pengyu,XIANG Xin,HE Linyuan,et al.Intelligent Communication,Intelligence,and Reconnaissance Architecture and Related Technologies for Distributed Unmanned Operations[J].，2025，（12）：1965 - 1971. [点击复制]
|
|
| 摘要: |
| 随着现代战争形态向“智能中心战”加速演进，分布式无人作战系统在广域侦察、协同打击等任务中展现出巨大潜力，其效能高度依赖于实时、精准的通信情报（Communications Intelligence,COMINT）支撑。针对传统侦察系统在复杂电磁环境下存在的感知能力弱、协同效率低、情报转化慢等问题，提出一种面向分布式无人作战的智能通信情报侦察（Intelligent Communication Intelligence Reconnaissance,ICOR）系统架构。该架构采用“云-边-端”协同模式，通过集成轻量化人工智能感知、图神经网络协同定位、自适应智能通信优化以及知识图谱驱动的情报融合等关键技术，实现感知、通信、处理与决策的闭环智能。所提架构与技术体系可有效提升分布式无人系统的战场感知智能化水平，为未来智能化作战提供有力支撑。 |
| 关键词: 分布式无人作战 通信情报侦察 智能信号处理 “云-边-端”协同 智能化作战 |
| DOI：10.20079/j.issn.1001-893x.251125004 |
|
| 基金项目: |
|
| Intelligent Communication,Intelligence,and Reconnaissance Architecture and Related Technologies for Distributed Unmanned Operations |
| DONG Pengyu,XIANG Xin,HE Linyuan,LIANG Yuan,WANG Rui,MAO Hu,LYU Siting |
| (Air Force Engineering University,Xi’an 710038,China) |
| Abstract: |
| As modern warfare rapidly evolves toward “intelligent center warfare”,distributed unmanned combat systems demonstrate immense potential in wide-area reconnaissance and coordinated strike missions.Their effectiveness heavily relies on real-time,precise communications intelligence(COMINT) support.To address the limitations of traditional reconnaissance systems,such as weak situational awareness,low coordination efficiency,and slow intelligence conversion in complex electromagnetic environments,the authors propose an intelligent communication intelligence reconnaissance(ICOR) system architecture tailored for distributed unmanned operations.Adopting a “cloud-edge-end” collaborative model,the architecture achieves closed-loop intelligence encompassing perception,communication,processing,and decision-making by integrating key technologies,including lightweight artificial intelligence(AI)-based perception,graph neural network(GNN)-enabled collaborative localization,adaptive intelligent communication optimization,and knowledge graph-driven intelligence fusion. The proposed architecture and its associated technical framework can effectively enhance the battlefield awareness intelligence level of distributed unmanned systems,providing robust support for future intelligent warfare. |
| Key words: distributed unmanned operations communications intelligence reconnaissance intelligent signal processing cloud-edge-end coordination intelligent warfare |
《电讯技术》编辑部 