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• W2783445536 abstract "Wireless device accessing security is a great challenge in wireless communication networks, especially RFID and some other mini wireless terminals with limited computing power are facing higher strength security challenges because of the high cost caused by the traditional cryptographic. As an important non-cryptographic authentication technology, radio frequency fingerprinting technology, due to its full use of non-imitation of the radio frequency characteristics, has been gaining increasing attention to be a lightweight authentication scheme. Aiming at the shortcomings of traditional radio frequency fingerprint feature extracting methods, this paper constructs a system for the feature extraction of radio frequency fingerprint based on multi-resolution analysis. Meanwhile, BP neural network is designed to optimize features. Finally, a better separable metric algorithm and threshold value are selected according to the actual identification accuracy rate." @default.
• W2783445536 created "2018-01-26" @default.
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• W2783445536 date "2017-10-01" @default.
• W2783445536 modified "2023-09-26" @default.
• W2783445536 title "Algorithm and implementation of radio frequency fingerprinting based on multi-resolution analysis" @default.
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• W2783445536 doi "https://doi.org/10.1109/emc-b.2017.8260397" @default.
• W2783445536 hasPublicationYear "2017" @default.
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