面向低空无人机的通感一体化关键技术及原型验证研究

赵川斌; 张腾宇; 冯源; 罗东琦; 高飞飞

doi:10.11959/j.issn.2096-3750.2025.00486

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面向低空无人机的通感一体化关键技术及原型验证研究

智慧交通物联网前沿与进展 | 更新时间：2025-07-29

- 面向低空无人机的通感一体化关键技术及原型验证研究
- Key technologies and prototype validation research of integrated sensing and communications for low altitude UAV
- 物联网学报 2025年9卷第2期页码：27-38
- 作者机构：
  
  1.清华大学自动化系，北京 100084
  2.中国电信股份有限公司四川分公司，四川成都 610031
- 作者简介：
  
  赵川斌，清华大学自动化系博士生，中国电信股份有限公司四川分公司高级工程师，主要研究方向为无线通感一体化、多模态人工智能感知、移动边缘计算。
  张腾宇，清华大学自动化系博士生，主要研究方向为无线通信、通感一体化、通信硬件系统设计、雷达硬件系统设计等。
  冯源，清华大学自动化系硕士生，主要研究方向为智能通信、通感一体化、阵列信号处理等。
  罗东琦，清华大学自动化系在站博士后，主要研究方向为通感一体化和基于深度学习的信号处理算法。
  高飞飞，feifeigao@tsinghua.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(62341107);四川省重点研发项目(2025YFHZ0022)
- DOI：10.11959/j.issn.2096-3750.2025.00486
  中图分类号： TN915.08;
- 收稿日期：2025-02-11，
  
  修回日期：2025-03-07，
  
  纸质出版日期：2025-06-10
- 稿件说明：
移动端阅览
赵川斌,张腾宇,冯源等.面向低空无人机的通感一体化关键技术及原型验证研究[J].物联网学报,2025,09(02):27-38.

ZHAO Chuanbin,ZHANG Tengyu,FENG Yuan,et al.Key technologies and prototype validation research of integrated sensing and communications for low altitude UAV[J].Chinese Journal on Internet of Things,2025,09(02):27-38.
赵川斌,张腾宇,冯源等.面向低空无人机的通感一体化关键技术及原型验证研究[J].物联网学报,2025,09(02):27-38. DOI： 10.11959/j.issn.2096-3750.2025.00486.

ZHAO Chuanbin,ZHANG Tengyu,FENG Yuan,et al.Key technologies and prototype validation research of integrated sensing and communications for low altitude UAV[J].Chinese Journal on Internet of Things,2025,09(02):27-38. DOI： 10.11959/j.issn.2096-3750.2025.00486.

摘要

通感一体化6G关键技术可借助蜂窝网，实现低空无人机高可靠、低时延、大带宽、广覆盖的通信，并对黑飞、乱飞的非合作无人机进行检测、追踪、识别等。首先，分析了单基站感知无人机的关键技术。然后，提出了多基站协同以及融合视觉的多模态无人机感知技术，在此基础上，讨论了多基站组网的波束优化和资源管理方案。最后，研发了通感一体化硬件原型验证平台，在保持通信服务的同时有效验证了对无人机的追踪以及对飞鸟的识别。

Abstract

With the help of base station cellular networking

the integrated sensing and communications (ISAC) key technologies for 6G can communicate with low-altitude unmanned aerial vehicle (UAV) in a wide range of reliable low-time delay and large bandwidth

and detect

track and identify non-cooperative UAV. Firstly

the key technologies for single base station sensing UAV were analyzed. Then

based on the advantages of cellular base station networking

the key technologies of multi-mode accurate sensing UAV with multi-base station collaboration and vision fusion wireless were proposed. The beam optimization and resource management of multi-base station networking were studied. Finally

an ISAC hardware prototype platform was developed

which could perform UAV tracking and bird identification while maintaining communication services.

关键词

Keywords

references

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