摘要
目标识别是电子战领域的重点和难点之一,脉冲描述字(PDW)序列常常被应用于目标识别中。提出一种基于卷积神经网络(CNN)的脉冲描述字序列目标识别方法,利用脉冲描述字序列构建特征图,并基于特征图完成卷积神经网络识别模型的训练和测试,实验结果证明了提出方法的有效性和可行性。
Target recognition is the focus and difficulty in the field of Electronic Warfare,PDW sequence is widely used in target recognition.PDW sequence target identification method based on CNN,which is widely used in the field of image processing,is proposed.The PDW sequence data is used to generate feature map.Then the feature map is used to complete the training and testing of CNN identification model.The experimental results demonstrate the effectiveness of the proposed method.
作者
谭茂洲
康智
罗春
TAN Maozhou;KANG Zhi;LUO Chun(Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,China)
出处
《电子信息对抗技术》
2020年第6期12-15,共4页
Electronic Information Warfare Technology
关键词
目标识别
卷积神经网络(CNN)
特征图
target identification
convolutional neural network(CNN)
feature map
