Abstract:Based on the problems on unsatisfied recognition accuracy rate and computational power resources overuse, relevant research is taken on physical layer authentication, which is mainly divided into features extraction and classification.This paper purposes a method about individual identification of communication emitter based on axially integrated bispectra and gray relation classification.Firstly, bispectral features were extracted from preprocessed signals, and dimension reduction task was finished through axially integrated bispectra(AIB) and principal component analysis(PCA).Secondly, according to simple and informative features, the last part of physical-layer authentication was finished by gray relation classification.This model characterizes high authentication speed, low computation complexity, and multiple system transplantation without taking various communication protocol into account.