Research Article
Research on RF Fingerprinting Extraction of Power Amplifier Based on Multi-domain RF-DNA Fingerprint
@INPROCEEDINGS{10.1007/978-3-030-36402-1_14, author={Yihan Xiao and Xinyu Li}, title={Research on RF Fingerprinting Extraction of Power Amplifier Based on Multi-domain RF-DNA Fingerprint}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part I}, proceedings_a={ADHIP}, year={2019}, month={11}, keywords={Individual identification RF-DNA SVM}, doi={10.1007/978-3-030-36402-1_14} }- Yihan Xiao
Xinyu Li
Year: 2019
Research on RF Fingerprinting Extraction of Power Amplifier Based on Multi-domain RF-DNA Fingerprint
ADHIP
Springer
DOI: 10.1007/978-3-030-36402-1_14
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.
