Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy
Joint Authors
Deng, Shouyun
Huang, Zhitao
Wang, Xiang
Huang, Guangquan
Source
International Journal of Antennas and Propagation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-28
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Deng, Shouyun& Huang, Zhitao& Wang, Xiang& Huang, Guangquan. 2017. Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy. International Journal of Antennas and Propagation،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1158343
Modern Language Association (MLA)
Deng, Shouyun…[et al.]. Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy. International Journal of Antennas and Propagation No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1158343
American Medical Association (AMA)
Deng, Shouyun& Huang, Zhitao& Wang, Xiang& Huang, Guangquan. Radio Frequency Fingerprint Extraction Based on Multidimension Permutation Entropy. International Journal of Antennas and Propagation. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1158343
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158343