雷达科学与技术2025，Vol.23Issue(1)：57-66,10.DOI:10.3969/j.issn.1672-2337.2025.01.006
基于MobileNet-DOA的无人机射频信号识别方法
Drone Radio Frequency Signal Identification Method Based on MobileNet-DOA
摘要
Abstract
Aiming at the problem of low identification rates of drone models and flight modes based on radio fre-quency signals in low SNR environments,a drone radio frequency signal identification method based on MobileNet-DOA model is proposed in this paper.Firstly,the raw drone radio frequency signal is preprocessed by using variational mode decomposition to reduce background noise and co-frequency interference.Then,the preprocessed signal is trans-formed into time-frequency images by short-time Fourier transform.Finally,the MobileNet-DOA model is employed to complete the identification of drone radio frequency signals.In terms of the model,this paper integrates DOConv into MobileNetv4 model,enhancing the feature extraction capability while improving the training and computation speed.Ad-ditionally,the FA attention mechanism is utilized to further improve the identification accuracy of the model in low SNR environment.Experimental results show that the average detection accuracy of the proposed method achieves 94.83%in the SNR range from-15 dB to 15 dB,making it applicable to real-time detection and identification system of drone.关键词
无人机射频信号识别/变分模态分解/MobileNet模型/DOConv卷积/FA注意力机制Key words
drone radio frequency signal identification/variational mode decomposition/MobileNet model/DO-Conv/FA attention mechanism分类
电子信息工程引用本文复制引用
晏行伟,孔令轩,刘坤,刘安娜..基于MobileNet-DOA的无人机射频信号识别方法[J].雷达科学与技术,2025,23(1):57-66,10.基金项目
国家自然科学基金(No.62173124,62101563) （No.62173124,62101563）
河北省自然科学基金(No.F2022202064) （No.F2022202064）
