电波科学学报2026，Vol.41Issue(3)：447-455,9.DOI:10.12265/j.cjors.2025218
基于多模态融合感知的农村场景无人机信道建模方法
Multimodal perception fusion-based method for UAV mmWave channel modeling in rural environment
摘要
Abstract
Accurate air-to-ground channel modeling in rural environments is essential for ensuring the reliability and high-capacity transmission of unmanned aerial vehicle(UAV)communications.Existing models typically rely on limited environmental assumptions and lack multimodal perception of the propagation environment,which restricts their generalization capability under unknown flight trajectories.To address this issue,a rural communication scenario compliant with the 3GPP TR 38.901 standard is established,upon which a multimodal dataset comprising aerial images,depth information,and transceiver parameters is constructed.Based on this dataset,a multimodal spatial perception-based millimeter-wave channel CIR prediction model is proposed.The model is capable of predicting multipath power and delay parameters in complex rural environments and supports flexible prediction for an arbitrary number of multipath components.Experimental results demonstrate that the proposed model achieves high prediction accuracy and strong generalization capability across various rural UAV flight trajectories.This study provides an effective data-driven solution for UAV air-to-ground channel modeling in sparse rural environments.关键词
无人机(UAV)通信/毫米波信道/多模态融合/信道建模/无线信道Key words
unmanned aerial vehicle(UAV)communication/mmWave channel prediction/multimodal fusion/channel modeling/wireless channel分类
信息技术与安全科学引用本文复制引用
辛志超,刘玉,邢建平,王传腾,白宗锴,黄杰,边际..基于多模态融合感知的农村场景无人机信道建模方法[J].电波科学学报,2026,41(3):447-455,9.基金项目
地球深部探测与矿产资源勘查国家科技重大专项(2025ZD1008600) （2025ZD1008600）
国家自然科学基金(62471279,62101311) （62471279,62101311）
山东省自然科学基金(ZR2024MF062) （ZR2024MF062）
移动通信全国重点实验室开放课题(2025D03)Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project of China(2025ZD1008600) （2025D03）
National Natural Science Foundation of China(62471279,62101311) （62471279,62101311）
Natural Science Foundation of Shandong Province(ZR2024MF062) （ZR2024MF062）
Open Research Fund of National Mobile Communications Research Laboratory(2025D03) （2025D03）
