Spread spectrum signal radio frequency fingerprint feature extraction method based on cyclic shift characteristic

Abstract

The invention discloses a spread spectrum signal radio frequency fingerprint feature extraction method based on a cyclic shift characteristic. The method comprises the following steps: estimating a carrier frequency offset of a signal by calculating a difference result of adjacent repeated symbols in a signal lead code; carrier phase offset is solved by calculating a conjugate product result of a received signal lead code and a local ideal signal lead code, so that carrier synchronization is realized; segmenting the signal frame according to a single symbol, and aligning the IQ signals; normalizing the energy of each symbol; respectively calculating a cyclic correlation function of each symbol and a local reference symbol by using a cyclic shift characteristic; the cyclic correlation functions are integrated, and a cross-power spectrum is solved through Fourier transform; and summing and averaging cross-power spectrum results of all symbols of one frame of signal to obtain a radio frequency fingerprint. The radio frequency fingerprint extraction method provided by the invention is less affected by environmental noise, is suitable for a low signal-to-noise ratio condition, is irrelevant to the transmitted data, and can be suitable for various spread spectrum signals.

Description

Technical field [0001] The present invention belongs to the field of communication and information security, and it is related to a spread spectrum signal RF fingerprint feature extraction method based on cyclic shift characteristics. Background technique [0002] Radio Frequency FingerPrinting is a radio transmitting device and a child, which is due to different radio frequency circuits cause different degrees of distortion of signals. The radio frequency circuit often contains a series of electronic devices. Since the production process is not the same, the actual electrical parameters actually have a small difference. When the RF circuit works, the electronic device works together, so that any of the radio frequency circuits cannot have exactly the same radio frequency fingerprint. [0003] RF fingerprint has long-term stable and unique features, which is like a human fingerprint, which can be used to identify different emission devices, complete identity authentication of the...

AI Technical Summary

Problems solved by technology

However, since only the "0" symbol is used to extract the RF fingerprint, there is no indication that the same effect can be achieved by using other symbols, so the current methods all have problems related to the RF fingerprint and data

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