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. The signal samples of each radiation source are respectively collected, and the in-phase component and the quadrature component of each signal sample are respectively decomposed by an improved VMD algorithm. Select the low-frequency modal component for reconstruction to obtain the reconstructed in-phase component and the reconstructed quadrature component, respectively calculate the energy of the reconstructed in-phase component and the reconstructed quadrature component based on the Teager energy operator, and then calculate the in-phase component and quadrature component of each signal sample The corresponding modal component and the box dimension of the reconstructed in-phase component and the reconstructed orthogonal component, the energy and the box dimension are constructed to obtain the feature vector of the signal sample, the feature vector is taken as input, and the corresponding radiation source number is taken as output. The classification model is trained to obtain a radiation source identification model. When radiation source identification is required, the feature vector of the signal is obtained and input into the radiation source identification model to obtain the identification result. The invention can effectively improve the recognition rate of the radiation source in the environment of low signal-to-noise ratio.

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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