公开(公告)号：US20200044899A1

公开(公告)日：2020-02-06

申请号：US16498391

申请日：2017-11-30

Applicant: SOUTH CHINA UNIVERSITY OF TECHNOLOGY

Inventor： Fangjiong CHEN ,  Wensong ZHANG ,  Zeng HU ,  Fei JI ,  Hua YU

IPC: H04L27/00 ,  G06K9/62 ,  G06N3/08

Abstract: The invention provides a method for automatically identifying a modulation mode for a digital communication signal. The method comprises the following steps of: S1: preprocessing a training digital modulation signal; S2: extracting a characteristic value of the training digital modulation signal; S3: constructing a strong classifier by Bagging learning; and S4: preprocessing a modulation signal to be tested and extracting a corresponding characteristic parameter, and then inputting the characteristic parameter into the strong classifier in the S3 to classify and identify the modulation signal. According to the method, by processing all characteristic values in parallel, a success rate of identification has little to do with an identification performance of a single characteristic parameter and is mainly related to an overall performance, so that the identification to the modulation mode has the advantages of fast identification speed and high success rate of identification.