火力与指挥控制2025，Vol.50Issue(3)：26-33,40,9.DOI:10.3969/j.issn.1002-0640.2025.03.004
基于RF-GBDT的无人机空对地信道参数预测算法
A Parameter Prediction Algorithm for UAV Air-to-ground Channel Based on RF-GBDT
摘要
Abstract
Aiming at the inefficiency of empirical model,high complexity and low simulation efficiency associated with traditional ray-tracing algorithm,a parameter prediction algorithm for Unmanned Aerial Vehicle(UAV)air-to-ground channels based on Random Forest(RF)-Gradient Boosting(GBDT)is proposed.The RF-GBDT algorithm utilizes integrated learning ideas to build multiple modules,the transmitter and receiver positions,transmission frequency,and building coverage rate are taken into account.Residual sequences are introduced for model training and hyperparameter optimization to achieve efficient,accurate,and highly generalized channel parameter prediction.The experimental results show that compared with traditional RF models and GBDT models,the RF-GBDT model has smaller time complexity,higher prediction accuracy,faster convergence speed,and lower convergence errors.The RF-GBDT model predicts an RMSE reduction of at least 21.8%and converges an RMSE reduction of at least 27.6%,which is beneficial for the design,deployment,and optimization of communication systems.关键词
射线跟踪/UAV/空对地信道参数预测/RF-GBDT/集成学习Key words
ray tracing/UAV/prediction of air-to-ground channel parameters/RF-GBDT/inte-grated learning分类
军事科技引用本文复制引用
苏覃,江虹,汪文斌..基于RF-GBDT的无人机空对地信道参数预测算法[J].火力与指挥控制,2025,50(3):26-33,40,9.基金项目
国家自然科学基金(61771410) （61771410）
四川省科技厅基金资助项目(2023NSFSC1373) （2023NSFSC1373）
