A Method of RF Fingerprint Recognition Based on Contour Feature

doi:10.3969/j.issn.1671-1122.2017.10.012

Abstract

Abstract:

The RF fingerprint extraction and identification of wireless devices is one of the hotspots. This paper presents a method of extracting and recognizing CTF based on image processing.This method is applied to the constellation trajectory using median filter for noise reduction and other preconditioning, and then using image enhancement and morphological processing, getting contour and high density distribution of concentrated areas and other specific features. The pixel matching and correlation matrix and other methods are also used to distinguish and identify features to achieve the distinction between wireless devices.The experimental results show that the wireless device recognition rate can reach 90%.

Key words: median filter, wavelet decomposition, mathematical morphology, correlation matrix, image recognition

CLC Number:

TP309

Zhengyang CUI, Aiqun HU, Linning PENG. A Method of RF Fingerprint Recognition Based on Contour Feature[J]. Netinfo Security, 2017, 17(10): 75-80.

Figures/Tables 13

References 15

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