辐射源系统特有的非线性可用于辐射源指纹识别(radio frequency fingerprinting,RFF)。特别地,基于非线性动力学重构相空间(reconstructed phase space,RPS)的特征对线性信道具有天然优势,且对细微差异更加敏感。然而,该方法在非理想场...辐射源系统特有的非线性可用于辐射源指纹识别(radio frequency fingerprinting,RFF)。特别地,基于非线性动力学重构相空间(reconstructed phase space,RPS)的特征对线性信道具有天然优势,且对细微差异更加敏感。然而,该方法在非理想场景中同样面临着鲁棒性不足的问题。为此,分析非线性动力学基础与其对应的RFF机理,结合实际非理想应用场景完善了相关理论模型;在此基础上,构造相空间K阶状态转移矩阵,提出通过表征K阶状态转移矩阵的特性来提取RFF特征的方法,并通过理论证明其鲁棒性。基于多种实测和仿真数据在随机扰动、多径衰落等场景下进行细致实验,结果表明所提方法特征机理清晰、计算简单,在多种场景下均表现出明显的鲁棒性优势,具有较高的应用价值。展开更多
Radio frequency fingerprinting(RFF)is a technology that identifies the specific emitter of a received electromagnetic signal by external measurement of the minuscule hardware-level,device-specific imperfections.The RF...Radio frequency fingerprinting(RFF)is a technology that identifies the specific emitter of a received electromagnetic signal by external measurement of the minuscule hardware-level,device-specific imperfections.The RFF-related information is mainly in the form of unintentional modulation(UIM),which is subtle enough to be effectively imperceptible and is submerged in the intentional modulation(IM).It is necessary to minimize the influence of the IM and expand the slight differences between emitters for successful RFF.This paper proposes a UIM microstructure enlargement(UMME)method based on feature-level adaptive signal decomposition(ASD),accompanied by autocorrelation and cross-correlation analysis.The common IM part is evaluated by analyzing a newly-defined benchmark feature.Three different indexes are used to quantify the similarity,distance,and dependency of the RFF features from different devices.Experiments are conducted based on the real-world signals transmitted from 20 of the same type of radar in the same working mode.The visual image qualitatively shows the magnification of feature differences;different indicators quantitatively describe the changes in features.Compared with the original RFF feature,recognition results based on the Gaussian mixture model(GMM)classifier further validate the effectiveness of the proposed algorithm.展开更多
目前,随着光电子芯片技术的高速发展,高频毫米波通信已成为目前宽带接入网络中的重要发展技术;因为采用外调制倍频方案的光生毫米波系统兼具收发毫米波信号的高效性和稳定性,且能充分利用现有电信网络中的光纤资源,因此,在实际中具备潜...目前,随着光电子芯片技术的高速发展,高频毫米波通信已成为目前宽带接入网络中的重要发展技术;因为采用外调制倍频方案的光生毫米波系统兼具收发毫米波信号的高效性和稳定性,且能充分利用现有电信网络中的光纤资源,因此,在实际中具备潜在应用价值。综述了光生毫米波倍频基本原理、典型倍频仿真或实验方案及其相关测试结果的研究进展;考虑到马赫-曾德尔调制器(Mach-Zehnder Modulator,MZM)作为倍频光生毫米波的关键电光器件,因此,分析了其中的关键工作参数;最后,对光载无线通信(Radio over Fiber,RoF)系统中光生毫米波技术的应用前景进行了展望。展开更多
文摘辐射源系统特有的非线性可用于辐射源指纹识别(radio frequency fingerprinting,RFF)。特别地,基于非线性动力学重构相空间(reconstructed phase space,RPS)的特征对线性信道具有天然优势,且对细微差异更加敏感。然而,该方法在非理想场景中同样面临着鲁棒性不足的问题。为此,分析非线性动力学基础与其对应的RFF机理,结合实际非理想应用场景完善了相关理论模型;在此基础上,构造相空间K阶状态转移矩阵,提出通过表征K阶状态转移矩阵的特性来提取RFF特征的方法,并通过理论证明其鲁棒性。基于多种实测和仿真数据在随机扰动、多径衰落等场景下进行细致实验,结果表明所提方法特征机理清晰、计算简单,在多种场景下均表现出明显的鲁棒性优势,具有较高的应用价值。
基金This work was supported by the Program for Innovative Research Groups of the Hunan Provincial Natural Science Foundation of China(2019JJ10004).
文摘Radio frequency fingerprinting(RFF)is a technology that identifies the specific emitter of a received electromagnetic signal by external measurement of the minuscule hardware-level,device-specific imperfections.The RFF-related information is mainly in the form of unintentional modulation(UIM),which is subtle enough to be effectively imperceptible and is submerged in the intentional modulation(IM).It is necessary to minimize the influence of the IM and expand the slight differences between emitters for successful RFF.This paper proposes a UIM microstructure enlargement(UMME)method based on feature-level adaptive signal decomposition(ASD),accompanied by autocorrelation and cross-correlation analysis.The common IM part is evaluated by analyzing a newly-defined benchmark feature.Three different indexes are used to quantify the similarity,distance,and dependency of the RFF features from different devices.Experiments are conducted based on the real-world signals transmitted from 20 of the same type of radar in the same working mode.The visual image qualitatively shows the magnification of feature differences;different indicators quantitatively describe the changes in features.Compared with the original RFF feature,recognition results based on the Gaussian mixture model(GMM)classifier further validate the effectiveness of the proposed algorithm.
文摘目前,随着光电子芯片技术的高速发展,高频毫米波通信已成为目前宽带接入网络中的重要发展技术;因为采用外调制倍频方案的光生毫米波系统兼具收发毫米波信号的高效性和稳定性,且能充分利用现有电信网络中的光纤资源,因此,在实际中具备潜在应用价值。综述了光生毫米波倍频基本原理、典型倍频仿真或实验方案及其相关测试结果的研究进展;考虑到马赫-曾德尔调制器(Mach-Zehnder Modulator,MZM)作为倍频光生毫米波的关键电光器件,因此,分析了其中的关键工作参数;最后,对光载无线通信(Radio over Fiber,RoF)系统中光生毫米波技术的应用前景进行了展望。
