基于星座图对射频指纹识别方法的研究
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(重庆邮电大学 光电信息感测与传输技术重庆市重点实验室, 重庆 400065)

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国家自然科学基金项目(61671091);重庆市基础与前沿研究计划项目(csts2017jcyjAX0427).通信作者:袁建国E-mail:yyyyjg@126.com


Research on the Radio Frequency Fingerprint Identification Method Based on the Constellation Diagram
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(Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, CHN)

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    摘要:

    针对星座图的射频(RF)指纹识别方案中,低信噪比环境下识别准确率低的问题,提出一种基于欧式距离与幅度距离的二维识别算法来进行RF指纹识别。该方案通过对星座图进行优化处理,可从优化后的星座图中提取识别性能更好的RF指纹,再通过二维识别算法来提高识别准确率。仿真结果表明:与仅用欧式距离作为判断依据的方法相比,所提出的二维识别算法的识别准确率最高可提升8%,在设备容量为50组的情况下识别准确率为77.8%,并且从优化后的星座图中所提取的RF指纹具有更好的唯一性和稳定性。

    Abstract:

    In the RF fingerprint identification scheme for the constellation diagram, with respect to the problem of the low identification precision rate in low signal noise ratio (SNR) environment, a two-dimensional identification algorithm based on the Euclidean distance and amplitude distance is proposed. This solution optimizes the constellation diagram to extract RF fingerprints with better identification performance from the optimized constellation diagram, and then uses the two-dimensional identification algorithm to improve the identification precision rate. Simulation results show that compared with the method based on the Euclidean distance, the identification precision rate of the proposed two-dimensional identification algorithm can be improved by up to 8% and the identification precision rate is 77.8% when the equipment capacity is 50. The RF fingerprints characterized by the optimized constellation diagram present better uniqueness and robustness.

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  • 收稿日期:2020-04-04
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  • 在线发布日期: 2020-08-07
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