Method of Empirical Mode Decompositions in Radio Frequency Fingerprint

摘要：

It is important but difficult to analyze transient signal of Radio Frequency Fingerprinting (RFF), especially to extract the features of RFF signal. Method of analyzing transient signal based on Empirical Mode Decompositions (EMD) is introduced in this paper. EMD can dynamically achieve signals Time-Frequency Distribution (TFD) and amplify the features difference between RFFs transient signals from different radio transmitters. EMD is efficient to process transient signal and can extract efficient features in RFF system. The results of simulation show that EMD method has the advantages that signal processing speed of EMD is fast and can achieve very high correct rate of recognizing to transmitter.

关键词： Feature extraction Transient signal Empirical Mode Decompositions Intrinsic Mode Function

作者: Xu Jin-yong Zhao Hang-sheng Liang Tao

作者单位: The 63rd Research Institute of PLA General Staff Jiangsu Province Nanjing 210007, China

会议类型: 国际会议

会议名称: 2010 International Conference on Microwave and Millimeter Wave Technology(2010国际微波与毫米波技术会议 ICMMT2010)

会议地点: 成都

会议语种:英文

页码: 1275-1278

在线出版日期: 2010-05-08（万方平台首次上网日期，不代表论文的发表时间）