Radar individual identification method based on dense connection residual network

The invention discloses a radar individual identification system and method based on a dense connection residual network. The method comprises the following steps of: 1) acquiring a radar radiation source signal data set; 2) performing time-frequency analysis on radar radiation source signals, and converting a time signal into a time-frequency image; 3) constructing the dense connection residual network; 4) inputting the time-frequency image as a training sample into a network for training; and 5) converting to-be-classified signals into time-frequency images to be input into the network for identification. The method mainly solves the problem that an existing radar radiation source signal recognition technology is low in training identification accuracy. 本发明公开了一种基于密集连接残差网络的雷达个体识别系统与方法，其实现步骤包括：1)获取雷达辐射源信号数据集；2)对雷达辐射源信号作时频分析，将时间信号转换成时频图像；3)构建密集连接残差网络；4)将时频图像作为训练样本输入网络进行训练；5)将待分类信号转换为时频图像输入网络后进行识别。本方法主要解决现有雷达辐射源信号识别技术训练识别准确率较低的问题。