Individual Radiation Source Identification Method Based on Separation and Reconstruction

Abstract

A separation and reconstruction individual radiation source identification method disclosed in the present invention can effectively improve the accuracy rate of individual radiation source identification. The present invention is realized through the following technical solutions, collecting individual radiation source signals to establish a SepNet deep learning model; conducting supervised training on the radiation source signal training set, separating individual features in the radiation source signals, and inputting the original signals into the public feature extraction module to extract common features , extract the high-dimensional feature vector of the training data; use the signal reconstruction module to reconstruct the feature data from the individual feature extraction module and the content feature extraction module, reconstruct the feature map of the input signal, and calculate the mean square error loss with the original signal . The classification module accurately classifies the signals, and judges the radiation source individual to which the signal belongs according to the obtained category probability value; finally, the joint optimization network model is used to update the weight of the convolution kernel, and the input is mapped to a real number between 0-1 to measure the deep learning of SepNet The recognition ability of the model.

Description

technical field [0001] The invention belongs to the technical field of signal identification, and in particular relates to an individual radiation source identification (specific emitter identification, SEI) method based on feature separation and reconstruction of radiation sources. Background technique [0002] With the substantial increase of air radiation source equipment, it is necessary to judge whether the air target radiation source is working normally and the attributes of abnormal air targets, and these judgments need to be based on the individual identification of the air radiation source. Radiation source individual identification SEI is also called radiation source fingerprint identification or specific radiation source identification. Radiation source individual identification refers to the identification of the target individual by extracting one or more modulation characteristics of the received signal, because these characteristics are universal, Measurabilit...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the problem of low accuracy rate of radiation source individual identification under the traditional method, the present invention provides a radiation source individual identification, short training time, higher accuracy rate, simple classification, easy training, fast convergence speed, and effective Improve the accuracy of individual radiation source identification, with strong robustness, an individual radiation source identification method based on feature separation and reconstruction

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