数据采集与处理2025，Vol.40Issue(1)：56-71,16.DOI:10.16337/j.1004-9037.2025.01.005
毫米波低空无人机通感波束训练与追踪技术研究
Research on mmWave Low-Altitude UAV ISAC Beam Training and Tracking Tech-nology
徐媛 1李心怡 1沈嘉宇 1黄崇文 1杨照辉 1施淑媛 2王建斌2
作者信息
- 1. 浙江大学信息与电子工程学院,杭州 310027
- 2. 中国电信股份有限公司浙江分公司,杭州 310040
- 折叠
摘要
Abstract
Aiming at the problems of beam training and target localization and tracking in millimeter-wave(mmWave)low-altitude unmanned aerial vehicle(UAV)scenarios,inspired by information theory,this paper proposes a hierarchical beam training algorithm based on the channel coding principle and a UAV target localization and tracking algorithm based on mmWave radar sensing,respectively.The proposed algorithms have high generalization and robustness,and are applicable not only to static and dynamic scenarios,but also to far-field,near-field,reconfigurable intelligent surface(RIS)assisted communication,and distributed cellular-free network scenarios,as well as illegal UAV intrusion sensing,etc.The algorithms are also validated through simulations and hardware platform tests.Specifically,the channel coding beam training algorithm can significantly improve the training accuracy by using coding gain and error correction mechanism.The mmWave radar algorithm combines Capon beam formation,constant false alarm rate(CFAR)detection and density-based spatial clustering of applications with noise(DBScan)to achieve UAV detection and tracking.Both simulation and hardware test results show that these algorithms can effectively improve the efficiency of beam training and the accuracy of sensing and localization in mmWave low-altitude UAV scenarios,providing technical support for the further prosperous development of low-altitude economy.关键词
低空经济/毫米波通感一体化/无人机感知/波束训练/追踪Key words
low-altitude economy/mmWave integrated sensing and communication(ISAC)/UAV sensing/beam training/tracking分类
信息技术与安全科学引用本文复制引用
徐媛,李心怡,沈嘉宇,黄崇文,杨照辉,施淑媛,王建斌..毫米波低空无人机通感波束训练与追踪技术研究[J].数据采集与处理,2025,40(1):56-71,16.
