高斯过程预测动态子集码本协同无人机波束跟踪算法OA

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.