Radiation source identification method based on VMD-Teager energy operator

Abstract

The invention discloses a radiation source identification method based on a VMD-Teager energy operator, and the method comprises the steps: respectively collecting a signal sample of each radiation source, carrying out the signal decomposition of an in-phase component and an orthogonal component of each signal sample through employing an improved VMD algorithm, selecting a low-frequency mode component for reconstruction, and obtaining a reconstructed in-phase component and a reconstructed orthogonal component; calculating the energy of the reconstructed in-phase component and the reconstructedquadrature component based on a Teager energy operator, then calculating the modal components corresponding to the in-phase component and the quadrature component of each signal sample and the box dimensions of the reconstructed in-phase component and the reconstructed quadrature component, constructing the energy and the box dimensions to obtain the feature vector of the signal sample, and taking the feature vector as the input and taking the corresponding radiation source serial number as output to train the classification model to obtain a radiation source identification model; when radiation source identification needs to be carried out, obtaining a feature vector of the signal, and inputting the feature vector into the radiation source identification model to obtain an identificationresult. According to the invention, the identification rate of the radiation source in a low signal-to-noise ratio environment can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of radiation source identification, and more specifically relates to a radiation source identification method based on a VMD-Teager energy operator. Background technique [0002] The individual identification technology of communication radiation sources is of great significance for improving the security of wireless communication systems and enhancing the ability of military communication reconnaissance and countermeasures. By analyzing the characteristics of the communication signal of the radio equipment, that is, the radio frequency fingerprint, the individual source of the radiation source of the signal can be distinguished. Individual radiation source identification has been widely used in radio, Internet of Things security, etc. [0003] At present, in the aspect of RF fingerprint feature extraction, many different algorithms have been studied, which can be summarized as two categories extracted from...

AI Technical Summary

Problems solved by technology

At the same time, based on the VMD algorithm, the high-order modal features are directly extracted from the reconstructed transient signal. At 0-5dB, the average recognition rate is 91%, but at -5 to 0dB, the average recognition rate is only 70.1%.

It can be found that although the VMD algorithm has good noise robustness, in the environment of low signal-to-noise ratio, the use of VMD in the field of radiation source identification remains to be studied

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