A Novel Method Based on Order Statistics for Extracting Fingerprint of Narrow Band Emitter
Tang Zhi-ling①② Yang Xiao-niu③ Li Jian-dong①
①(School of Communication Engineering, Xidian University, Xi’an 710071, China) ②(School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China) ③(National Key Lab of Information Control Technology for Communications System, Jiaxing 314001, China)
Abstract：The static nonlinear feature of narrow band Radio Frequency Power Amplifier (RF PA) is made as the fingerprint of wireless communication emitter. RF PA with unknown input can be looked as a static nonlinear Hammerstein model. The process of feature extraction from this model is split into two steps. The first step is signal samples whitening and the second is the estimation of Taylor series’ coefficients. The order statistics of the whitening signal samples is monotone. Then the features are estimated through linear regression using least square method. Comparing feature vectors of 4 RF power amplifiers results in that the proposed algorithm is effectively to identification different type of RF power amplifiers.
唐智灵, 杨小牛, 李建东. 基于顺序统计的窄带通信辐射源指纹特征抽取方法[J]. 电子与信息学报, 2011, 33(5): 1224-1228.
Tang Zhi-Ling, Yang Xiao-Niu, Li Jian-Dong. A Novel Method Based on Order Statistics for Extracting Fingerprint of Narrow Band Emitter. , 2011, 33(5): 1224-1228.
2011, Vol. 33 
