Specific Radar Emitter Identification Based on Random Convolutional Prototypical Networks
SUN Jiajie
CUI Liangzhong
NIU Yameng
LU Jianxiong
QI Jianchi
Abstract：This paper proposes a specific radar emitter identification method based on random convolutional prototype network to solve the problems of low accuracy,poor timeliness and poor generalization of traditional specific radar emitter identification methods.The method uses a large number of random convolution kernels to extract and transform features of radar emitter signals ef-ficiently,establishes a prototype network model,inputs the transformed features into the prototype network for prototype learning,and makes the prototype network learn a prototype for each type of radar emitter signal.The distance is used as the classification ba-sis.Specific radar emitter identification is completed by the distance between the emitter signal features and the prototype trans-formed by the prototype network.Experiments are carried out on six types of radar emitters.The results show that the proposed meth-od effectively solves the problem of specific radar emitter identification.
Keywords：specific radar emitter identificationfeature extractionrandom convolution kernelsprototype learning
Publication Date：2024-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 82-86 )