RF Fingerprint Feature Extraction and Recognition Algorithm Based on Double-Maximal

Yu-shan LI, Ai-dong XU, Hong WEN, Peng LI, Yu-nan ZHANG, Jie CHEN


The proposed double-maximal radio frequency (RF) fingerprint feature extraction algorithm in this paper is aimed at the imperfect signal with noisy signal. It can achieve perfect recognition rate when the feature dimension is greatly reduced, and the classification performance is improved. The advantage of low computational complexity and high authentication accuracy is suitable for access authentication in scenarios such as power terminals, and is well compatible with the diversified and heterogeneous characteristics of power terminals under the power edge computing.


Radio Frequency Fingerprint, Feature Extraction, Access Authentication


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