通信学报2026，Vol.47Issue(2)：33-45,13.DOI:10.11959/j.issn.1000-436x.2026039
基于层级交叉注意力网络的无人机被动感知方法
UAV passive sensing method based on hierarchical cross-attention network
摘要
Abstract
To address weak echo submersion and multipath interference in digital terrestrial multimedia broadcast(DTMB)external illuminator,a UAV passive sensing method based on hierarchical cross-attention network(HCANet)was proposed.A dual-branch architecture was constructed to extract temporal dependencies via time-domain multi-scale convolution and micro-Doppler features via frequency-domain amplitude-phase joint encoding.Hierarchical cross-attention modules were utilized to adaptively align and fuse time-frequency features in the feature space.Experimental results show that the method maintaines robustness within-10 to 10 dB signal-to-noise ratios.The detection accuracy un-der 10 dB additive white Gaussian noise,Rician,and Rayleigh channels reaches 95.75%,99.50%,and 71.25%,respec-tively,and the accuracy of measured data in complex urban environments reaches 99.65%.These results validate the ef-fectiveness in low signal-to-noise ratio and strong-scattering environments.关键词
无人机被动感知/DTMB外辐射源/层级交叉注意力/弱目标检测/时频特征融合Key words
UAV passive sensing/DTMB external illuminator/hierarchical cross-attention/weak target detection/time-frequency feature fusion分类
信息技术与安全科学引用本文复制引用
白静,肖竹,何佳成,张卓..基于层级交叉注意力网络的无人机被动感知方法[J].通信学报,2026,47(2):33-45,13.基金项目
国家自然科学基金资助项目(No.62276206) The National Natural Science Foundation of China(No.62276206) （No.62276206）
