Abstract
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.
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