Radio Frequency Fingerprint-Based Satellite TT&C Ground Station Identification Method

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.

Application of Radio Frequency Identification (RFID) in Dairy Information Management

As a kind of brand-new technology, radio frequency identification (RFID) plays an important role in dairy information management, data control and acquisition. This paper introduced food safety tracing and culture function extension of managing system construction, analyzed the advantages and problems in dairy modern breeding technology, and finally put forward some suggestions for solution according to the practical situation.

An Overview of Anti-Collision Protocols for Radio Frequency Identification Devices

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.

Remanufacturing Closed-Loop Supply Chain Model with Radio Frequency Identification Affecting Recycling Rate

In order to construct a resource-saving and environmentfriendly society,the advantages of radio frequency identification(RFID) were considered.And it put forward the idea of introducing RFID in the recycling activities of waste products.Taking into account such elements as the technical level of RFID,cost saving from remanufacturing and the cost of RFID tags,both centralized and decentralized supply chain models with different participants in waste product collection were created,in order to determine the optimal pricing strategy and RFID technical level.In the end,sensitivity analyses were conducted to analyze the impacts of scaling parameter for additional increased recovery rate with RFID on pricing and RFID technology level,and impacts of cost saving on the profits of participants in different remanufacturing closed-loop supply chain models.

基于RFID的仓储自动化与智能化技术应用

随着全球供应链的不断发展及复杂化,仓储自动化与智能化技术成为提高效率及准确性的关键手段。探讨了射频识别(RFID)在仓储管理中的应用,利用RFID技术可实时追踪商品,减少库存错误,降低人工操作需求,提高整体物流速度。将传统的条形码系统与RFID系统进行对比,揭示RFID在准确性、可靠性及数据收集速度等方面的优势,为未来的仓储自动化与智能化发展提供参考。

Recovery of Collided RFID Tags With Frequency Drift on Physical Layer

In a passive ultra-high frequency(UHF)radio frequency identification(RFID)system,the recovery of collided tag signals on a physical layer can enhance identification efficiency.However,frequency drift is very common in UHF RFID systems,and will have an influence on the recovery on the physical layer.To address the problem of recovery with the frequency drift,this paper adopts a radial basis function(RBF)network to separate the collision signals,and decode the signals via FM0 to recovery collided RFID tags.Numerical results show that the method in this paper has better performance of symbol error rate(SER)and separation efficiency compared to conventional methods when frequency drift occurs.

用于油气井RFID扶正器激活的阅读器共形天线设计

基于油气井井下环境的特点,为实现井下扶正器的远程控制,同时改正射频识别(RFID)阅读器天线电磁波强度衰减过大、辐射性能差等缺陷,设计一种共形于井下管道的RFID扶正器阅读器偶极子天线。依据天线设计的基本理论,利用天线弯折技术,将该天线结构设计为倒“U”型,实现与套管相共形;通过仿真扫频分析优化天线参数,分析天线主要结构对性能的影响。结果表明,设计的天线最终的中心频率为860 MHz,在该频率下天线输入端口反射系数为-21.05 dB,增益为2.2 dB,天线尺寸为11 mm×148.44 mm,天线的性能满足设计需求,可用于套管扶正器等井下工具的无线控制。

Capture-aware Bayesian RFID Tag Estimate for Large-scale Identification

Dynamic framed slotted Aloha algorithm is one of popular passive radio frequency identification(RFID) tag anticollision algorithms. In the algorithm, a frame length requires dynamical adjustment to achieve higher identification efficiency.Generally, the adjustment of the frame length is not only related to the number of tags, but also to the occurrence probability of capture effect. Existing algorithms could estimate both the number of tags and the probability of capture effect. Under large-scale RFID tag identification, however, the number of tags would be much larger than an initial frame length. In this scenario, the existing algorithm's estimation errors would substantially increase. In this paper, we propose a novel algorithm called capture-aware Bayesian estimate, which adopts Bayesian rules to accurately estimate the number and the probability simultaneously. From numerical results, the proposed algorithm adapts well to the large-scale RFID tag identification. It has lower estimation errors than the existing algorithms. Further,the identification efficiency from the proposed estimate is also higher than the existing algorithms.

Design and Implementation of a Low-Power Active RFID for Container Tracking at 2.4 GHz Frequency

In this paper a new active RFID system at 2.45 GHz based on the low-power system-on-chip CC2530 RF transceiver is designed and implemented. Only by using of an integrated multi-channel fast chip, both the MCU and RF operations are done which makes the RFID more reliable and reduces the complexity of the hardware and cost, vividly. This RFID system utilizes the Zig-Bee IEEE 802.15.4 standard in the ISM band. A lot amount of energy is restored by setting Tags in the sleep mode in the most of times. The maximum transmission range of 80 m at the output power of 4.5 dBm is obtained. The main application of this system is for the container identification with precise operation and high accuracy. An active Tag with unique ID is mounted on each vehicle. By enabling the AUTOCRC error detection possibility, minor errors are detected in the received frames. Receiver sensitivity of –97 dBm and current consumption of 1 μA in the sleep mode and 29.6 mA in the active mode are reported.

基于方形螺旋谐振器的紧凑型RFID标签天线

设计了一种小型化超高频(UHF,ultra-high frequency)射频识别(RFID,radio frequency identification)标签天线。该天线由内外两个方形螺旋谐振器短接构成,通过改变外圈螺旋谐振器的边长和内外圈螺旋谐振器的间距,可以有效调节标签天线的谐振频率。仿真结果表明,标签天线阻抗匹配良好,频带范围覆盖整个超高频频段(840~960 MHz),总尺寸为7.60 mm×7.60 mm×0.05 mm,比传统螺旋谐振器(SR,spiral resonator)天线小96%。测试结果表明,在4 W有效全向辐射功率条件下,标签天线在910 MHz处读取距离达到最大。所提小型化超高频射频识别标签天线具有尺寸小、频带宽、成本低和易于批量制作的特点,适用于对尺寸要求较小的应用环境。

基于RFID的成箱服装信息检测系统可靠性设计

目的解决目前服装企业存在的服装量大、品种多、整箱货运盘货难度大等问题。方法将RFID技术与服装信息管理相结合,设计整箱服装信息自动化采集系统,通过对系统RFID阅读器天线数量及位置进行优化设计,同时改进RFID标签多叉树防碰撞算法,以提高服装信息检测系统识别的可靠性。结果通过计算分析,构建了阅读器“M”形四天线空间分布全覆盖检测模型,同时配合服装检测系统的识别软件完成了批量服装电子标签可靠性检测,对最大服装包装箱的检测准确率达到了100%。在系统的检测速度为60 m/min时,每分钟的理论识别量可达到2600件。结论有效提高了服装信息检测系统的可靠性和采集效率。

基于贝叶斯攻击图的RFID系统安全评估模型

针对目前RFID(Radio Frequency Identification,射频识别技术)系统安全分析中忽略攻击事件对系统安全状态动态影响的问题,为了有效实现RFID系统的安全风险评估,文章提出了一种基于贝叶斯攻击图的RFID系统安全评估模型。该模型首先通过对RFID系统结构、所用协议进行分析确定系统的脆弱性漏洞及其依赖关系,建立攻击图。针对攻击图模型只能进行定性分析的问题,构建出相应的攻击图模型结构后可以结合贝叶斯理论对其进行量化。依据漏洞的利用难易度和影响程度建立RFID漏洞量化评价指标,计算出对应的原子攻击概率,然后以条件转移概率的形式将攻击节点与RFID系统的安全属性节点联系在一起,不仅能推断攻击者能够成功到达各个属性节点的风险概率,而且能够依据攻击者的不同行为动态展示系统风险状况的变化,实现评估不同状态下目标RFID系统的整体风险状况。实验表明,所提模型可以有效地计算出RFID系统整体的风险概率,为后续实施对应的安全策略提供理论依据。

基于BIM与RFID的装配式建筑安全管理

笔者分析了装配式建筑的特性以及安全管理问题,对确保装配式建筑项目在设计、施工、维护和使用过程中的安全性进行了讨论,旨在探讨基于BIM与RFID这两种技术的装配式建筑安全管理的监测方法,并分析了其实际应用的可行性和效果。

基于RFID的人体姿态识别方法研究

人体姿态感知是未来智能护理场景的主要挑战之一。然而,视觉技术会涉及遮挡、光线条件、侵犯隐私等问题;可穿戴运动跟踪设备会增加人体负担,降低舒适性。针对以上问题,提出了一种基于射频识别(RFID)的方法进行全肢体姿态估计,能够有效克服遮挡、穿戴舒适性差等问题。首先基于相位差信息提出了一种细粒度肢体运动模型,通过构建似然函数来进行人体关节角度估计;引入正运动学构建多肢体联合运动模型,结合双天线融合算法进行三维关节角度估计;最后结合人体骨骼模型与肢体关节角度来重建人体姿态。实验结果以Kinect 2.0为标准,测得的四肢平均关节角度误差约为6°,平均关节位置误差约为4cm,表明该系统可以有效地实时监测全肢体姿态。

基于切比雪夫混沌映射和PUF的RFID三方认证协议

针对射频识别(RFID)三方认证协议存在的安全需求和资源开销的平衡问题,利用切比雪夫多项式的半群性质以及混沌性质提出了一个基于切比雪夫混沌映射和物理不可克隆函数(PUF)的RFID三方认证协议:使用切比雪夫混沌映射来实现标签、阅读器和服务器三方共享秘密;使用随机数实现协议每轮会话的新鲜性以抵抗重放攻击,同时也实现了阅读器与标签的匿名性;使用PUF函数实现标签本身的安全认证以及抵抗物理克隆攻击。安全分析表明,该协议能有效抵抗追踪、重放、物理克隆和去同步攻击等多种恶意攻击,使用BAN逻辑分析方法和Scyther工具验证了其安全性。与近期协议对比分析表明,该协议弥补了同类RFID协议的安全缺陷,在满足各种安全属性需求的同时尽量平衡硬件开销,契合了RFID硬件资源受限的处境,适用于RFID三方认证场景。

基于无芯片RFID的低成本湿度传感器设计

设计一款低成本无芯片射频识别(RFID)传感器用于环境湿度监测具有重要意义。为此,将聚乙烯醇(PVA)薄膜用作湿度敏感材料,矩形基板的整体尺寸为18 mm×18 mm×0.5 mm,通过感湿原理和仿真分析,环境湿度的变化引起湿度敏感材料PVA介电常数的变化,进而影响整个传感器谐振频率偏移。仿真结果表明:所设计的湿度传感器相对湿度工作范围为21.9%~52.5%,对应传感器谐振频率范围为2.76~2.51 GHz,偏移总量达到250 MHz,最大相对湿度下平均灵敏度为23.08 MHz/%。所设计的湿度传感器具有小型化、结构简易和低成本等优点,可应用于各种目标环境的湿度监测。

基于RFID的铁路智能管理无人工具室技术研究

结合铁路行业检修特点,针对检修工具种类繁杂、数量多,工具管理效率低的问题,采用RFID射频技术为核心,结合人脸识别等技术,提出了基于RFID技术的智能工具管理室,实现工具借还自动记录与管理。本文从现场调研、技术原理、研制过程和现场实际运用情况等方面详细阐述了铁路智能工具管理室研究过程与实施效果,通过本智能工具管理室可以全面了解工具使用情况,提高了工具管理效率,杜绝了工具遗落在检修现场造成的安全隐患,保障了列车运行安全,实现了检修工具管理信息化,为企业全面信息化提供了技术支撑。

基于RFID管理实验室设备实施的关键问题研究

随着高校仪器设备数量的不断增加,智能、高效、数字化、网络化的管理实验室和实验设备已经成为现代化高校的发展趋势。主要考虑使用射频识别(RFID)技术来管理实验设备,实现对仪器设备的批量识别,更加智能高效地管理实验室。重点分析了实施过程中的几个关键技术问题:距离和频率的选择、有源/无源标签的选择、天线的选择、仪器为金属材质的问题、标签冲突防碰撞问题和价钱费用问题,以及附加定位问题等,为高校引入RFID技术管理实验室设备提供了关键技术选择、技术分析和应用。

基于WSN和RFID的矿井作业人员健康监测系统设计

针对煤矿井下工作场景恶劣复杂、人员健康及环境参数监控难度大、易造成安全事故等问题,采用物联网技术,设计了一种基于无线传感器网络(Wireless Sensor Networks,WSN)和射频识别(Radio Frequency Identification,RFID)的矿井作业人员健康监测系统。该系统利用WSN实时监控人体的心率、血氧及井下环境温湿度、气体浓度等数据;利用RFID技术定位井下作业人员;将所采集信息数据传输至服务器实时检测,实现安全预警并及时定位救援,从而远程监测作业人员健康。

基于RFID技术和ZigBee技术的危险品实验室安全监测系统设计

随着科学技术的不断发展,危险品实验室的安全问题日益引起人们的关注。为了提高实验室的安全性,基于射频识别(Radio Frequency Identification,RFID)技术和紫蜂协议(ZigBee)技术设计了一种危险品实验室安全监测系统,以提高实验室的安全性和管理效率。该系统通过RFID标签对实验室内的危险品进行追踪和管理,利用ZigBee技术实现实时的监测和报警功能。