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

A technology that combines features and identification methods, applied in the field of communication, can solve problems such as network management troubles, illegal spectrum occupation, information leakage, etc.

Active Publication Date: 2017-06-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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

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Embodiment

[0074] For the convenience of description, the relevant technical terms appearing in the specific implementation are explained first:

[0075] AGC (Automatic Gain Control): automatic gain control;

[0076] SIB (Square Integrated Bispectra): rectangular perimeter integral bispectra;

[0077] PCA (Principal Component Analysis): principal component analysis;

[0078] FDA (Fisher Discriminant Analysis): Fisher Discriminant Analysis;

[0079] EMD: (Empirical Mode Decomposition) empirical mode decomposition;

[0080] IMFs: (Intrinsic Mode Functions) Intrinsic Mode Functions;

[0081] DFT: (Discrete Fourier Transform) discrete Fourier transform;

[0082] FFT: (Fast Fourier Transformation) fast Fourier transform;

[0083] RFC: (Random Forest Classifier) ​​Random Forest Classifier;

[0084] figure 1 It is a flow chart of a mobile phone individual identification method based on bispectrum and EMD fusion features of the present invention.

[0085] In this example, if figure 1 Sh...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62H04L29/06
CPCH04L63/08G06F2218/02G06F2218/08G06F2218/12G06F18/253
Inventor 杨远望丁敏黄培培朱学勇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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