火力与指挥控制2026，Vol.51Issue(7)：20-25,32,7.DOI:10.3969/j.issn.1002-0640.2026.07.004
高斯过程预测动态子集码本协同无人机波束跟踪算法
Cooperative UAV Beam Tracking Algorithm via Dynamic Subset Codebook and Gaussian Process Prediction
摘要
Abstract
To address the problem of beam misalignment and high computational complexity in millimetre-wave communications for high-speed UAVs,this paper proposes a UAV position prediction algorithm based on Gaussian processes.Using the predicted position,a dynamic codebook is generated to track the optimal beam in the UAV communication system.Experimental results show that the proposed algorithm achieves high-accuracy UAV position prediction and delivers high spectral efficiency.Furthermore,during the optimal beam tracking process,the error between the predicted and ground-truth UAV positions is utilized to construct a dynamic codebook subset,thereby reducing both computational complexity and beam training overhead.关键词
无人机/高斯过程/轨迹预测/波束跟踪/动态码本Key words
UAV/Gaussian process/trajectory prediction/beam tracking/dynamic codebook分类
信息技术与安全科学引用本文复制引用
袁龙,乔仟,江虹,张秋云,曾闵,罗颖..高斯过程预测动态子集码本协同无人机波束跟踪算法[J].火力与指挥控制,2026,51(7):20-25,32,7.基金项目
国家自然科学基金(62441111) （62441111）
四川省国际港澳台合作项目(2025YFHZ0199) （2025YFHZ0199）
四川省面上基金资助项目(2024NSFSC0476) （2024NSFSC0476）
