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