一种优化的基于信号幅度排序的射频指纹特征提取和识别算法
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【 摘 要 】 针对目前传统基于信号幅度的射频指纹特征提取方法存在的不足，文章提出一种优化的基于信号幅度值排序序列的射频指纹特征提取算法。考虑到开机瞬态信号特征采样个数变动的问题，该算法充分利用所有信号特征采样，并有效兼顾了特征提取的计算复杂度。文章详细介绍了算法，同时通过仿真实验证明该算法相较利用信号幅度的算法在区分度和抗噪声上具有较大的优越性。
【 关键词 】 射频指纹；特征提取；排序序列；聚类分析
【 中图分类号 】 TN911.72
【 文献标识码 】 A
An optimized algorithm for the feature extraction and recognition of
RF fingerprint based on signal amplitude ranking
Xie Fei-yi Cheng Wei Chen Yi Wen Hong
（National Key Laboratory of Science and Technology on Communications， UESTC SichuanChengdu 611731）
【 Abstract 】 Aiming at the shortcomings of traditional RF fingerprint feature extracting methods based on signal amplitude， this paper proposes an optimized algorithm for the feature extraction of RF fingerprint based on signal amplitude ranking. In view of the problem that the number of the transient signal feature sampling is changed，the algorithm takes full advantage of all the features of the signal， and it also takes into account the computational complexity of the feature extraction. This paper introduces the algorithm flow， as well as through simulation experiment it shows that this algorithm has the superiority of discrimination and anti-noise， compared with algorithms by using signal amplitude.
【 Keywords 】 radio frequency fingerprint； feature extraction； collating sequence； cluster analysis
1 引言
射频指纹特征提取是射频指纹识别（Radio Freque...
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