Radio frequency fingerprint identification method based on QPSK signal bispectrum energy entropy and color moments

Abstract

The invention discloses a radio frequency fingerprint identification method based on QPSK signal bispectrum energy entropy and color moments, relating to the field of wireless communication. A bit stream signal of a sending end is subjected to QPSK mapping to obtain a signal s(n). Through up conversion, a frequency modulation signal p(n) is obtained and is inputted into a power amplifier to output a signal Phi (n), an analog signal is obtained through digital to analog conversion processing, the analog signal is sent out and is added into AWGN in a sending process, a receiving end obtains a digital signal r(n) through analog to digital conversion processing, a baseband signal is obtained through down conversion, and radio frequency fingerprint characteristics including the bispectrum energy entropy, a first-order moment and a second-order moment are extracted from the baseband signal. Then through an SVM classifier, the classification training and testing of the radio frequency fingerprint characteristics are carried out, and a test category result is obtained. Through comparing the test category result and an actual category result, a classification accuracy rate Pc is obtained. According to the method, the radio frequency signals are effectively classified, and the identification accurate rate under a low signal-to-noise ratio is improved by nearly 20% compared with a traditional method.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a radio frequency fingerprint identification method based on QPSK signal bispectral energy entropy and color moment. Background technique [0002] In wireless communication systems, the security issues caused by the openness of wireless networks cannot be ignored. [0003] The traditional method is mainly based on the security protocol of the cryptographic mechanism to realize the protection of data integrity and confidentiality, and to provide authentication of the identities of both communication parties. However, such authentication information is easy to be forged by malicious users through software, and there is a potential threat. Considering that even different devices of the same model produced by the same manufacturer, individual differences will be formed due to differences in oxide layer thickness, doping concentration, etc. during the manufacturing process, and ...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem of low recognition accuracy under the condition of low signal-to-noise ratio in the existing radio frequency fingerprint identification technology, the present invention proposes a radio frequency fingerprint identification method based on QPSK signal bispectrum energy entropy and color moment;

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