Bispectra and EMD fusion feature-based mobile phone individual identification method

Abstract

The invention discloses a bispectra and EMD fusion feature-based mobile phone individual identification method. The method comprises the steps of performing bispectra calculation on all samples, and performing dimension reduction by utilizing PCA to obtain a feature set X; calculating empirical mode decomposition of each sample to obtain a power spectrum of a signal stray component, and performing Fisher judgment analysis to obtain a feature set Y; performing CCA feature fusion on the feature set X and the feature set Y to obtain a fused feature set Z; and performing horizontal segmentation on Z according to a ratio of m% to n% to obtain a training set ZTrain and a test set ZTest, training a random forest classifier by using the training set ZTrain, performing classification decision on the test set ZTest by utilizing the trained classifier, and finally outputting a mobile phone individual identification result.

Description

technical field [0001] The invention belongs to the technical field of communication, and more specifically relates to a mobile phone individual identification method based on bispectral and EMD fusion features. Background technique [0002] Individual communication radiation source identification determines the individual radiation source that generates the signal by measuring the characteristics of the received signal, which is defined as "the ability to associate the unique electromagnetic characteristics of the radiation source with the individual radiation source". The individual characteristics of the radiation source are generally due to the slight differences between its internal components (such as the nonlinearity of the device, the instability of the frequency source, and the spurious output, etc.), which is also called the "fingerprint" of the communication signal. , refers to the feature in the communication signal used to identify the identity of the communicat...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this technology is that the current software authentication method is easy to imitate, and this vulnerability is also easy to be exploited by malicious attackers to launch PUE (Primary User Emulation) attacks, resulting in information leakage or long-term illegal occupation of spectrum. Brings great trouble to network management

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