在射频指纹(radio frequency fingerprint,RFF)识别系统中,考虑到同一发射机的鲁棒性与不同发射机之间的差异性,提出了将瞬态信号二阶谱中的功率谱密度和互功率谱密度两个特征融合作为指纹的方法,并结合径向基概率神经网络分类器来进行分类.同时,对同一型号两个系列的多种无线网卡进行了分类检测,并与不同的特征提取方法和分类器进行了比较.结果表明,与已有方法相比,此方法的分类精确度有较大的提高.
A propagation measurement campaign was performed at the 10 th floor corridor of Xingjian Building,Shanghai University,China.The channel was sounded by pseudo noise( PN) sequence at carrier frequencies of 400-and 2600-MHz respectively.In order to obtain large scale and small scale propagation characteristics in the corridor,the receiver was moved along the corridor every 1.02 meter to record the impulse response.More than 280,000 impulse responses were recorded in the campaign.This work first describes the principle of the measurement,and then how the recorded raw data are processed.The results show that path loss exponent is related to frequency.The relationship between the root-mean squared( RMS) delay spread and the T-R separation distance is analyzed.The RMS delay spread and the mean excess delay spread against path loss are also given,which explain why the 2600 MHz RMS delay spread is larger than that of 400 MHz.
