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中文摘要：
射频指纹识别是指无线通信中的发射机识别,用于加强无线安全,其难点在于有效的特征提取,特征提取方法主要分为瞬态和稳态分析,考虑到瞬态波形的差异性,将平均功率与幅度峰值之比定义为瞬态强度,并将其作为指纹特征来识别发射机。实验仿真中,采集了不同类型笔记本无线网卡和同一类型不同系列的波形进行分类性能估计,结果表明,相较于时频域的希尔伯特黄变换和短时傅里叶变换幅值特征,瞬态强度的指纹特征,使射频指纹识别有更高的识别准确率和更短的分类时间。
英文摘要：
Radio Frequency fingerprinting is the transmitters identification in wireless communication process,applying in wireless security,whose difficulty is the effective feature extraction.The feature extraction approaches for RF fingerprinting can broadly be divided into transient and steady-state analysis.Considering the difference of transient waveforms,we use transient intensity as the fingerprint feature to identity transmitters,which is defined as the ratio of signals＇ mean power and peak magnitude.The classification performance of notebook wireless network adapts in different models and USB wireless network adapts in different series have been evaluated from experimental simulation,combined with features of the magnitude of Hilbert-Huang Transform and the Short Time Fourier Transform in timefrequency domain.It is demonstrated that the feature of transient intensity has some advantages,such as high accuracy and short time of classification.
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