On the Performance Supremum of CFO Based Physical Layer Identification
On the Performance Supremum of CFO Based Physical Layer Identification
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DOI：
10.1155/2022/3657706
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发表时间：
2022-08
影响因子：
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通讯作者：
Shuiguang Zeng;Yin Chen;Xufei Li;Yulong Shen;Dongmei Zhao;Jinxiao Zhu;N. Shiratori
中科院分区：
文献类型：
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作者：
Shuiguang Zeng;Yin Chen;Xufei Li;Yulong Shen;Dongmei Zhao;Jinxiao Zhu;N. Shiratori
物理层识别是一种新兴技术，利用物理层功能来识别无线设备。识别精度和最多可识别的设备数量对于识别方案具有重要意义。现有的工作主要集中于多特征选择的特征相关性分析，而不研究单个特征性能的最小上限（上界）。上界表示了性能的极限，是评价特征质量、提高识别方案性能的另一个视角。因此，本文首先研究最常用的物理层特征，即载波频率偏移（CFO）的性能上限值。具体来说，我们提供了严格的数学分析，并基于最大最小距离分析（MMDA）准则推导了识别精度上限的封闭式表达式。然后，还分析了可区分设备数量的上界。最后，我们进行了仿真研究来验证理论分析结果。
Physical layer identification is an emerging technique that exploits physical layer features to identify wireless devices. The identification accuracy and the device quantity that can be identified at most are significant for the identification scheme. Existing works primarily focus on the feature correlation analysis for multifeature selection without investigating the least upper bound (supremum) of the performance of a single feature. The supremum indicates the limit of the performance, which is another sight for evaluating the quality of features and improving the performance of the identification scheme. Therefore, this paper first investigates the supremum of the performance of the most commonly used physical layer feature, i.e., carrier frequency offset (CFO). Specifically, we offer a rigorous mathematical analysis and derive the closed-form expression of the supremum of identification accuracy based on the max-min distance analysis (MMDA) criterion. And then, the supremum of the number of distinguishable devices is also analyzed. Finally, we conducted a simulation study to verify the theoretical analysis result.