网络安全与数据治理2025，Vol.44Issue(3)：39-46,8.DOI:10.19358/j.issn.2097-1788.2025.03.007
一种结合双阈值与WSN的OFDM辐射源个体识别
An OFDM radiation source individual identification combining dual thresholding and WSN
摘要
Abstract
Aiming at the problem of low recognition rate of OFDM radiation source under low signal-to-noise ratio,a dual-threshold and wavelet scattering network(WSN)-based method is proposed for individual recognition of the radiation source in the time-frequency diagram of OFDM signal.Firstly,according to the working principle of OFDM transmitter,the fingerprint model of OFDM signal containing fingerprint features is established;secondly,the time-frequency diagram is obtained by time-frequency analysis of OFDM signal in one symbol period using wavelet transform.Again,a two-parameter threshold function model is designed to realize adaptive suppression of noise interference and improve the image quality of the time-frequency dia-gram.After WSN processing,wavelet scattering coefficients are extracted from the optimized time-frequency diagram as the fea-ture set;finally,ResNet18 is used for classification and identification.The simulation results show that the method can signifi-cantly suppress noise interference,with recognition accuracy reaching87.5%at a signal-to-noise ratio of-4 dB,outperfor-ming other methods in terms of recognition accuracy and noise-resistant performance.关键词
时频图/双阈值函数/小波散射网络/OFDM辐射源个体识别Key words
time-frequency diagram/dual threshold function/wavelet scattering network/individual identification of OFDM radiation sources分类
电子信息工程引用本文复制引用
刘高辉,郑文文..一种结合双阈值与WSN的OFDM辐射源个体识别[J].网络安全与数据治理,2025,44(3):39-46,8.基金项目
国家自然科学基金(61671375) （61671375）
