Abstract
The uniqueness of the RF signal is caused by the difference in the hardware structure of the transmitter and the differences between the different devices. Among them, RF power amplifier is one of the key components of RF fingerprinting of wireless transmitter. It is an important breakthrough for RF fingerprint generation mechanism and individual identification. This paper proposes a new identification method of power amplifier based on new intelligent feature set, firstly, processing the received signal. The time domain, frequency domain, time-frequency domain, fractal domain transformation and feature extraction are performed. Secondly, the new intelligent feature set of each power amplifier individual can be characterized, and the RF-DNA fingerprint is visualized. Finally, the support vector machine is used to realize the individual recognition by selecting the optimal RBF kernel function. By simulating and verifying the eight power amplifier signals, a new intelligent feature set can be used to uniquely characterize the power amplifier. Under low SNR, the power amplifier individual can be quickly and effectively identified. The recognition rate of more than 80% can be achieved above the −5 dB signal-to-noise ratio.
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Acknowledgment
The authors would like to thank State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Director Fund (CEMEE2019K0101A).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xiao, Y., Li, X. (2019). Research on RF Fingerprinting Extraction of Power Amplifier Based on Multi-domain RF-DNA Fingerprint. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-36402-1_14
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DOI: https://doi.org/10.1007/978-3-030-36402-1_14
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