面向辐射源识别的多尺度特征提取与特征选择网络  

Multi-scale feature extraction and feature selection network for radiation source identification

作　　者：张顺生[1] 丁宦城 王文钦[2] ZHANG Shunsheng;DING Huancheng;WANG Wenqin(Research Institute of Electronic Science and Technology,University of Electronic Science and Technology of China,Chengdu 611731,China;School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]电子科技大学电子科学技术研究院,四川成都611731 [2]电子科技大学信息与通信工程院,四川成都611731

出　　处：《国防科技大学学报》2024年第6期141-148,共8页Journal of National University of Defense Technology

摘　　要：目前应用于辐射源识别的卷积神经网络对时序同相正交(in-phase and quadrature-phase,IQ)信号的处理有两种方式:一种方式是将其变换为图像,另一种方式是提取IQ时序数据的浅层特征。前一种方式会导致算法计算量大,而后一种方式会导致识别准确率低。针对上述问题,提出一种多尺度特征提取与特征选择网络。该网络以IQ信号为输入,经多尺度特征提取网络提取IQ信号的浅层特征和多尺度特征,采用特征选择网络降低多尺度特征的数据维度,通过自适应线性整流单元实现特征增强,使用单个全连接层对辐射源进行分类。在FIT/CorteXlab射频指纹识别数据集上,与ORACLE、CNN-DLRF和IQCNet对比实验表明,所提网络在一定程度上提高了识别准确率,降低了计算量。Convolutional neural networks currently applied to radiation source identification process the time-series IQ(in-phase and quadrature-phase)signals in two ways:one way transforms them into images,and the other way extracts shallow features of the IQ time-series data.The former way leads to a large computational effort of the algorithm,while the latter way leads to a low accuracy of the recognition rate.To address the above problems,a multi-scale feature extraction and feature selection network was proposed.After inputting the IQ signal,the shallow and multi-scale features of the IQ signal were extracted by the multi-scale feature extraction network.Then the data dimension of multi-scale features was reduced by the feature selection network.Feature enhancement was achieved by the adaptive linear rectification unit,and a single fully connected layer was used to classify the radiation source.Comparison experiments with ORACLE,CNN-DLRF and IQCNet on the FIT/CorteXlab radio frequency fingerprint recognition dataset show that the proposed network improves the recognition accuracy and reduces the computational effort to some extent.

关 键 词：辐射源识别 IQ信号 多尺度特征提取 特征选择 

分 类 号：TN92[电子电信—通信与信息系统]