| 引用本文： |
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黄雨欣,赵国锋,徐川,等.孪生仿真系统下低空无人机通信图谱及路径规划[J].电讯技术，2026，（4）：584 - 591. [点击复制]
- HUANG Yuxina,ZHAO Guofengb,XU Chuanb,et al.Communication Mapping and Path Planning for Low-altitude UAVs Based on Digital Twin Simulation System[J].，2026，（4）：584 - 591. [点击复制]
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| 摘要: |
| 城市低空环境中建筑物遮挡易引发信号衰减、通信中断等问题，导致无人机飞行存在安全风险，而现有无人机路径规划算法多聚焦路径几何优化，尚未将通信质量保障纳入核心约束体系。为解决该问题，提出融合通信约束的低空无人机飞行路径规划算法——通信感知的动态路径选择（Communication-aware and Dynamically Calibrated A*，CAD-A*）算法，将城市低空信道衰减与建筑遮挡的影响转化为量化约束，实现飞行全程通信安全保障。该算法先构建适配城市复杂环境的通信模型，通过量化空间通信质量状态生成通信质量图谱，再将图谱作为核心约束嵌入飞行路径筛选过程。依托网络仿真服务工具箱通信网络孪生仿真系统搭建三维城市仿真环境，将该算法与传统A*算法、Radio-A*算法开展对比仿真实验，结果显示，所提算法路径平均信噪比达25.53 dB，分别较传统A*算法和Radio-A*算法提升8.15 dB和3.68 dB。 |
| 关键词: 低空无人机 通信图谱 三维路径规划 通信保障 数字孪生 |
| DOI：10.20079/j.issn.1001-893x.251206002 |
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| 基金项目:中国博士后科学基金资助项目（2023MD734136） |
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| Communication Mapping and Path Planning for Low-altitude UAVs Based on Digital Twin Simulation System |
| HUANG Yuxina,ZHAO Guofengb,XU Chuanb,HAN Zhenzhenc,YU Kan,HU Xinyi |
| (1a.School of Computer Science and Technology;1b.School of Communication and Information Engineering;1c.School of Cyberspace Security and Information Law，Chongqing University of Posts and Telecommunications，Chongqing 400065，China;ぁ糐P2〗2.School of Information and Communication Engineering，Beijing University of Posts and Telecommunications，Beijing100876，China; 3.Department of Data and Systems Engineering，The University of Hong Kong，Hong Kong 999077，China) |
| Abstract: |
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| Key words: low-altitude unmanned aerial vehicle communication mapping 3D path planning communication assurance digital twin |
《电讯技术》编辑部 