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International Journal of Antennas and Propagation
Volume 2017 (2017), Article ID 1538728, 6 pages
https://doi.org/10.1155/2017/1538728
Research Article

Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy

College of Electronic Science and Engineering, National University of Defense Technology, No. 137, Street Yanwachi, Changsha, China

Correspondence should be addressed to Shouyun Deng

Received 8 February 2017; Revised 28 June 2017; Accepted 30 July 2017; Published 28 August 2017

Academic Editor: Symeon Nikolaou

Copyright © 2017 Shouyun Deng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Radio frequency fingerprint (RF fingerprint) extraction is a technology that can identify the unique radio transmitter at the physical level, using only external feature measurements to match the feature library. RF fingerprint is the reflection of differences between hardware components of transmitters, and it contains rich nonlinear characteristics of internal components within transmitter. RF fingerprint technique has been widely applied to enhance the security of radio frequency communication. In this paper, we propose a new RF fingerprint method based on multidimension permutation entropy. We analyze the generation mechanism of RF fingerprint according to physical structure of radio transmitter. A signal acquisition system is designed to capture the signals to evaluate our method, where signals are generated from the same three Anykey AKDS700 radios. The proposed method can achieve higher classification accuracy than that of the other two steady-state methods, and its performance under different SNR is evaluated from experimental data. The results demonstrate the effectiveness of the proposal.