This study presents a radio frequency(RF)fingerprint identification method combining a convolutional neural network(CNN)and gated recurrent unit(GRU)network to identify measurement and control signals.The proposed alg...This study presents a radio frequency(RF)fingerprint identification method combining a convolutional neural network(CNN)and gated recurrent unit(GRU)network to identify measurement and control signals.The proposed algorithm(CNN-GRU)uses a convolutional layer to extract the IQ-related learning timing features.A GRU network extracts timing features at a deeper level before outputting the final identification results.The number of parameters and the algorithm’s complexity are reduced by optimizing the convolutional layer structure and replacing multiple fully-connected layers with gated cyclic units.Simulation experiments show that the algorithm achieves an average identification accuracy of 84.74% at a -10 dB to 20 dB signal-to-noise ratio(SNR)with fewer parameters and less computation than a network model with the same identification rate in a software radio dataset containing multiple USRP X310s from the same manufacturer,with fewer parameters and less computation than a network model with the same identification rate.The algorithm is used to identify measurement and control signals and ensure the security of the measurement and control link with theoretical and engineering applications.展开更多
Radio frequency identification(RFID) is a new type of non-contact automatic identification technology.Due to its low energy consumption,low cost,and its adaptability to harsh environments,it has been applied to many f...Radio frequency identification(RFID) is a new type of non-contact automatic identification technology.Due to its low energy consumption,low cost,and its adaptability to harsh environments,it has been applied to many fields.In the RFID systems,data collision is inevitable when the reader sends a communication request and multiple tags respond with simultaneous data transmission.Data collision is prone to causing problems such as:identification delay,spectrum resource waste,a decreased system throughput rate,etc.Therefore,an efficient,stable anti-collision protocol is crucial for RFID systems.This research analysed the current research into RFID anticollision protocols and summarised means for its improvement through the mechanism of implementation of different types anticollision protocols.Finally,a new direction is proposed for the future development of RFID anti-collision protocol systems.展开更多
设计一种基于射频识别(Radio Frequency Identification,RFID)技术的图书馆自助服务系统,以提高图书馆的运作效率和用户体验,实现图书借阅、归还和定位等功能的自动化处理。采用RFID技术作为核心技术,通过将RFID标签粘贴在每本图书上,...设计一种基于射频识别(Radio Frequency Identification,RFID)技术的图书馆自助服务系统,以提高图书馆的运作效率和用户体验,实现图书借阅、归还和定位等功能的自动化处理。采用RFID技术作为核心技术,通过将RFID标签粘贴在每本图书上,并在图书馆各个关键位置安装RFID读写器,实现对图书的无线识别和追踪。经过实际测试和数据分析得出,基于RFID技术的图书馆自助服务系统能够大幅提升图书馆的运作效率和用户体验,自助借阅和归还的速度更快,减少了等待时间。展开更多
常规的集成电路产品信息溯源系统使用去中心化分布式网络认证溯源节点,易受复杂的节点业务逻辑影响,导致信息溯源系统运行异常。针对上述问题,基于射频识别技术(Radio Frequency Identification,RFID)设计了一个全新的集成电路产品信息...常规的集成电路产品信息溯源系统使用去中心化分布式网络认证溯源节点,易受复杂的节点业务逻辑影响,导致信息溯源系统运行异常。针对上述问题,基于射频识别技术(Radio Frequency Identification,RFID)设计了一个全新的集成电路产品信息溯源系统。系统硬件部分设计了远距离无线电(Long Range Radio,LoRa)通信接口及RFID读写器。系统软件部分结合溯源关系,设置了信息溯源共识机制,构建了溯源智能合约。系统测试结果表明,设计的集成电路产品信息溯源系统性能良好,可靠性较高,符合集成电路产品的信息溯源需求,具有一定的应用价值,为后续集成电路智能化加工作出了一定的贡献。展开更多
在分析服装企业原材料仓库管理业务过程的基础上,指出仓库管理存在盘点工作量巨大、库存数量不准确等问题,结合RFID(radio frequency identification)技术的高速移动物体识别、多目标和非接触识别、环境适应性好等特点,提出在服装企业...在分析服装企业原材料仓库管理业务过程的基础上,指出仓库管理存在盘点工作量巨大、库存数量不准确等问题,结合RFID(radio frequency identification)技术的高速移动物体识别、多目标和非接触识别、环境适应性好等特点,提出在服装企业原材料仓库实施RFID的应用方案。该应用方案由3个部分组成,描述应用系统信息需求的信息方案,说明如何使用标签的方法与过程的标签方案和结合具体业务过程的应用方案。该方案可以给服装企业构建RFID应用系统提供较高的参考价值。展开更多
在分析现有基于(EPC Class 1Gen,2EPCGen2)标准的轻量级RFID相互认证协议的基础上,提出了一种符合EPCGen2标准的基于射频指纹的RFID认证协议。协议融合了RFID设备的物理层信息,实现了RFID标签的跨层融合认证,具有增强RFID系统安全强度...在分析现有基于(EPC Class 1Gen,2EPCGen2)标准的轻量级RFID相互认证协议的基础上,提出了一种符合EPCGen2标准的基于射频指纹的RFID认证协议。协议融合了RFID设备的物理层信息,实现了RFID标签的跨层融合认证,具有增强RFID系统安全强度的特点。分析显示,提出协议具有相互认证、私密性、防止重放攻击、防止去同步攻击等安全性能,尤其能有效对抗RFID标签的克隆攻击。展开更多
基金supported by the National Natural Science Foundation of China(No.62027801).
文摘This study presents a radio frequency(RF)fingerprint identification method combining a convolutional neural network(CNN)and gated recurrent unit(GRU)network to identify measurement and control signals.The proposed algorithm(CNN-GRU)uses a convolutional layer to extract the IQ-related learning timing features.A GRU network extracts timing features at a deeper level before outputting the final identification results.The number of parameters and the algorithm’s complexity are reduced by optimizing the convolutional layer structure and replacing multiple fully-connected layers with gated cyclic units.Simulation experiments show that the algorithm achieves an average identification accuracy of 84.74% at a -10 dB to 20 dB signal-to-noise ratio(SNR)with fewer parameters and less computation than a network model with the same identification rate in a software radio dataset containing multiple USRP X310s from the same manufacturer,with fewer parameters and less computation than a network model with the same identification rate.The algorithm is used to identify measurement and control signals and ensure the security of the measurement and control link with theoretical and engineering applications.
基金The authors would like to thank the reviewers for their detailed reviews and constructive comments, which have helped improve the quality of this paper. This paper is supported by the National Natural Science Founda- tion of China （No. 61371092）, the Doctoral Fund of Ministry of Education of China （No.20130061120062）, and the China Postdoc- toral Science Foundation （No. 2014M551184）.
文摘Radio frequency identification(RFID) is a new type of non-contact automatic identification technology.Due to its low energy consumption,low cost,and its adaptability to harsh environments,it has been applied to many fields.In the RFID systems,data collision is inevitable when the reader sends a communication request and multiple tags respond with simultaneous data transmission.Data collision is prone to causing problems such as:identification delay,spectrum resource waste,a decreased system throughput rate,etc.Therefore,an efficient,stable anti-collision protocol is crucial for RFID systems.This research analysed the current research into RFID anticollision protocols and summarised means for its improvement through the mechanism of implementation of different types anticollision protocols.Finally,a new direction is proposed for the future development of RFID anti-collision protocol systems.
文摘设计一种基于射频识别(Radio Frequency Identification,RFID)技术的图书馆自助服务系统,以提高图书馆的运作效率和用户体验,实现图书借阅、归还和定位等功能的自动化处理。采用RFID技术作为核心技术,通过将RFID标签粘贴在每本图书上,并在图书馆各个关键位置安装RFID读写器,实现对图书的无线识别和追踪。经过实际测试和数据分析得出,基于RFID技术的图书馆自助服务系统能够大幅提升图书馆的运作效率和用户体验,自助借阅和归还的速度更快,减少了等待时间。
文摘常规的集成电路产品信息溯源系统使用去中心化分布式网络认证溯源节点,易受复杂的节点业务逻辑影响,导致信息溯源系统运行异常。针对上述问题,基于射频识别技术(Radio Frequency Identification,RFID)设计了一个全新的集成电路产品信息溯源系统。系统硬件部分设计了远距离无线电(Long Range Radio,LoRa)通信接口及RFID读写器。系统软件部分结合溯源关系,设置了信息溯源共识机制,构建了溯源智能合约。系统测试结果表明,设计的集成电路产品信息溯源系统性能良好,可靠性较高,符合集成电路产品的信息溯源需求,具有一定的应用价值,为后续集成电路智能化加工作出了一定的贡献。
文摘在分析服装企业原材料仓库管理业务过程的基础上,指出仓库管理存在盘点工作量巨大、库存数量不准确等问题,结合RFID(radio frequency identification)技术的高速移动物体识别、多目标和非接触识别、环境适应性好等特点,提出在服装企业原材料仓库实施RFID的应用方案。该应用方案由3个部分组成,描述应用系统信息需求的信息方案,说明如何使用标签的方法与过程的标签方案和结合具体业务过程的应用方案。该方案可以给服装企业构建RFID应用系统提供较高的参考价值。
文摘在分析现有基于(EPC Class 1Gen,2EPCGen2)标准的轻量级RFID相互认证协议的基础上,提出了一种符合EPCGen2标准的基于射频指纹的RFID认证协议。协议融合了RFID设备的物理层信息,实现了RFID标签的跨层融合认证,具有增强RFID系统安全强度的特点。分析显示,提出协议具有相互认证、私密性、防止重放攻击、防止去同步攻击等安全性能,尤其能有效对抗RFID标签的克隆攻击。
