电波科学学报2024，Vol.39Issue(6)：1019-1026,8.DOI:10.12265/j.cjors.2023335
一种通信辐射源正交调制细微特征提取和识别方法
A method for extracting and identifying fine features of quadrature modulator in communication emitters
摘要
Abstract
Aiming at the problems of insensitive local subtle features and large memory capacity required in the recognition of communication emitters in Transformer network,we propose a method for extracting and identifying fine features of quadrature modulator of communication radiation sources based on local bispectrum and Longformer networks.Firstly,we analyzed the mismatch characteristics of orthogonal modulators and established a mathematical model for mirror frequency interference in the output communication signal of quadrature modulators;Secondly,we derived the local discrete bispectral representation of the communication radiation source signal after orthogonal decomposition and symbol synchronization segmentation.Then,we analyzed the sparse self attention mechanism combining position encoding local self attention and global self attention in Longformer networks,and proposed an orthogonal modulation fine feature recognition and classification framework based on Longformer networks and softmax classifiers.Finally,We simulated the classification and recognition process of fine features of four quadrature modulators of the same type of orthogonal frequency division mutiplex(OFDM)radiation source,and analyzed the recognition performance,noise resistance,and network complexity of this method.The simulation results show that Longformer network has better recognition performance than Transformer network and radial basis function(RBF)network,achieving an accuracy of over 90%.关键词
个体识别/正交调制器/双谱/特征提取/Longformer网络Key words
identification/quadrature modulator/bispectrum/feature extraction/Longformer network分类
信息技术与安全科学引用本文复制引用
曹家昆,刘高辉,余宁梅,韩晨飞..一种通信辐射源正交调制细微特征提取和识别方法[J].电波科学学报,2024,39(6):1019-1026,8.基金项目
国家自然科学基金(61671375) （61671375）
