IEEE journal of radio frequency identification最新文献_第3页

Ring-Shaped Patch Antenna Embedded With Multiple Inductive Loads for Omnidirectional On-Metal Tag Design 面向全向金属标签设计的多电感负载环形贴片天线

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-07-07 DOI: 10.1109/JRFID.2025.3586675

Subbiah Alagiasundaram;Kim-Yee Lee;Eng-Hock Lim;Pei-Song Chee

引用次数: 0

A Comprehensive Review of Millimeter-Wave RFID: Retrodirective Topologies, Passive and Semi-Passive Energy Architectures, and the Integration of Advanced Communication Methods 毫米波射频识别技术综述：反向导引拓扑、无源与半无源能量架构，以及先进通讯方法的整合

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-07-07 DOI: 10.1109/JRFID.2025.3586807

Lauryn P. Smith;Theodore W. Callis;Marvin Joshi;Genaro Soto-Valle;Denitsa Dimitrova;Fernando Pastrana Aguirre;Manos M. Tentzeris

{"title":"A Comprehensive Review of Millimeter-Wave RFID: Retrodirective Topologies, Passive and Semi-Passive Energy Architectures, and the Integration of Advanced Communication Methods","authors":"Lauryn P. Smith;Theodore W. Callis;Marvin Joshi;Genaro Soto-Valle;Denitsa Dimitrova;Fernando Pastrana Aguirre;Manos M. Tentzeris","doi":"10.1109/JRFID.2025.3586807","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3586807","url":null,"abstract":"Millimeter-wave Identification (mmID) is a key enabler for next-generation Internet of Things (IoT) applications. This paper provides a comprehensive review of recent advancements which have improved localization, sensing, and communication through increased read ranges and angular coverages, reduced power consumption, and improved localization accuracies. These advancements are achieved through innovative designs integrating retrodirective arrays, planar and three-dimensional lenses, energy-autonomous solutions, and machine learning techniques. Trade-offs between the different types of mmID tags are discussed and ways of mitigating these challenges are addressed. Additionally, the paper highlights key applications, including wireless sensing, motion tracking for VR/AR applications, structural health monitoring, and high-data-rate backscatter communication. Current limitations and future directions are discussed highlighting the role of machine learning, energy harvesting, and reconfigurable intelligent surfaces (RIS) in advancing next-generation mmID networks. By addressing these factors, this review provides insights into the continued development of mmID technology for widespread adoption in advanced IoT and wireless communication systems.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"477-489"},"PeriodicalIF":2.3,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multimodal RF Fingerprinting for IoT Devices in Satellite-Based Sensing 基于卫星传感的物联网设备多模态射频指纹

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-07-04 DOI: 10.1109/JRFID.2025.3585924

Bisma Manzoor;Akram Al-Hourani

{"title":"Multimodal RF Fingerprinting for IoT Devices in Satellite-Based Sensing","authors":"Bisma Manzoor;Akram Al-Hourani","doi":"10.1109/JRFID.2025.3585924","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3585924","url":null,"abstract":"The rapid expansion of the Internet of Things (IoT) presents critical challenges in device authentication, network security, and wide-area visibility. While terrestrial solutions have been extensively explored, IoT visibility via Non-Terrestrial Network (NTN) platforms remains underdeveloped, despite the significance of NTN in regions lacking terrestrial communication infrastructure. To address this gap, and accounting for the complexities of satellite communication channel, this work proposes a framework that enables signal-based RF fingerprinting for IoT device classification via satellites by extracting key features from the received signals. The proposed framework integrates MUSIC-based Direction of Arrival (DoA) estimation, a Support Vector Machine (SVM) classifier, and signal processing techniques to extract key RF features, including DoA, modulation type, frequency, and Received Signal Strength Indicator (RSSI). These features are subsequently clustered using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to classify unique transmitters. The results demonstrate high classification accuracy, even under low Signal-to-Noise Ratio (SNR) conditions, providing a scalable solution for IoT device monitoring and spectrum awareness in satellite-based communications.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"507-516"},"PeriodicalIF":2.3,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144716244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Passive Harmonic Transponders With RFID Capabilities: Common Challenges and Techniques 无源谐波转发器与RFID功能：共同的挑战和技术

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-07-01 DOI: 10.1109/JRFID.2025.3584588

Andrei Mogilnikov;Anastasia Lavrenko

引用次数: 0

Optimizing Antenna Impedance Adaptation for UHF RFID Design 超高频射频识别天线阻抗优化设计

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-06-25 DOI: 10.1109/JRFID.2025.3583107

Hadi El Hajj Chehade;Bernard Uguen;Sylvain Collardey

引用次数: 0

Data Management and Data Products of a Daily Optical Communications Ground Station for Laser Communications Relay Demonstration 用于激光通信中继演示的日用光通信地面站数据管理与数据产品

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-06-23 DOI: 10.1109/JRFID.2025.3581539

Christine P. Chen;Sabino Piazzolla;W. Thomas Roberts;Michael Cheng;William Buehlman;Thang Trinh;Danny Luong;Arvid Croonquist;Vachik Garkanian;Emilio Vazquez;Joseph Kovalik

{"title":"Data Management and Data Products of a Daily Optical Communications Ground Station for Laser Communications Relay Demonstration","authors":"Christine P. Chen;Sabino Piazzolla;W. Thomas Roberts;Michael Cheng;William Buehlman;Thang Trinh;Danny Luong;Arvid Croonquist;Vachik Garkanian;Emilio Vazquez;Joseph Kovalik","doi":"10.1109/JRFID.2025.3581539","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3581539","url":null,"abstract":"The Laser Communications Relay Demonstration (LCRD) mission is the first NASA end-to-end optical relay. The project has been operating since the Space Test Program Satellite-6 (STPSat-6) spacecraft launch in December, 2021. The aim of this project is to show the feasibility of optical communications as a high-bandwidth service provider for NASA from geo-synchronous orbit to ground. This capability has been demonstrated through a long-term study of performance over time and varying channel conditions. Optical Ground Station 1 (OGS-1), located at Table Mountain Facility near Wrightwood, CA, has supported first-light and commissioning, and the current experiment phase, covering the recent three-year period on a largely daily operational cadence. Configured links include relays with Optical Ground Station 2 (OGS-2) in Haleakalā, Hawaii and ground-to-satellite loopbacks. This paper discusses the considerations behind OGS-1 data management and its development over the course of operations. An experimental scenario is described wherein this embedded system is demonstrated.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"439-445"},"PeriodicalIF":2.3,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11048451","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Low-Profile Symmetric Dipole UHF RFID Tag Design With Wide Tuning Range for Metallic Platforms 金属平台低轮廓对称宽调谐偶极超高频RFID标签设计

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-06-20 DOI: 10.1109/JRFID.2025.3581789

Muthukannan Murugesh;Muhammad Firdaus Akbar

{"title":"A Low-Profile Symmetric Dipole UHF RFID Tag Design With Wide Tuning Range for Metallic Platforms","authors":"Muthukannan Murugesh;Muhammad Firdaus Akbar","doi":"10.1109/JRFID.2025.3581789","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3581789","url":null,"abstract":"A low-profile, compact symmetric dipole planar tag antenna with a single-layer structure is developed for UHF RFID applications on metal surfaces. It incorporates a patch-loaded interconnected arm configuration to enable a wide frequency tuning range. The antenna can be fabricated on a cost-effective FR4 substrate without shorting stubs or metallic vias. It has dimensions of 40 mm <inline-formula> <tex-math>$times $ </tex-math></inline-formula> 38 mm <inline-formula> <tex-math>$times 1$ </tex-math></inline-formula>.57 mm (<inline-formula> <tex-math>$0.122lambda times 0.116lambda times 0.004{lambda }$ </tex-math></inline-formula>). The design features four interconnected arms with individual loading patches, which contribute to maintaining a broader bandwidth while enabling wide-range frequency tuning from 860 MHz to 960 MHz, the entire UHF RFID passband. By adjusting the width of the shorting patches between the arms and the loading patches, the antenna’s capacitive coupling is modified, which in turn alters the input reactance and enables precise tuning of the tag’s resonant frequency. This tuning approach enables resonance adjustment across the UHF range without additional lumped components. The antenna is designed to maintain an optimal impedance matching with the microchip throughout the entire wideband tuning range. When operating at an effective isotropic radiated power (EIRP) of 4 W, the proposed tag antenna achieves a maximum reading distance of approximately 9 meters. Moreover, this design offers a compact, tunable, and cost-effective solution to improve RFID reliability in metal-mount environments.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"415-425"},"PeriodicalIF":2.3,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RF Anti-Jamming via Multi-Level Howells-Applebaum Null-Forming: 32-Channels, 5.8 GHz/ 100 MHz/ Beam on Xilinx Sx475T FPGA 基于Xilinx Sx475T FPGA的多电平howell - applebaum零形成射频抗干扰：32通道，5.8 GHz/ 100 MHz/波束

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-06-17 DOI: 10.1109/JRFID.2025.3580492

Umesha Kumarasiri;Sivakumar Sivasankar;Hasitha Weerasooriya;Hiruni Silva;Chamira Edussooriya;Viduneth Ariyarathna;Francesco Restuccia;Arjuna Madanayake

{"title":"RF Anti-Jamming via Multi-Level Howells-Applebaum Null-Forming: 32-Channels, 5.8 GHz/ 100 MHz/ Beam on Xilinx Sx475T FPGA","authors":"Umesha Kumarasiri;Sivakumar Sivasankar;Hasitha Weerasooriya;Hiruni Silva;Chamira Edussooriya;Viduneth Ariyarathna;Francesco Restuccia;Arjuna Madanayake","doi":"10.1109/JRFID.2025.3580492","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3580492","url":null,"abstract":"Real-time sensing and perception of the radio spectrum based on artificial intelligence (AI) is crucial for emerging intelligent wireless and electronic warfare systems. However, sensing can be greatly impacted by harmful radio frequency interference (RFI). Emerging drone warfare allows many RFI sources/jammers to be distributed across a wide field-of-view which necessitates real-time measurement, adaptation and aperture nulling to remove the RFI before AI-based sensing and perception of sources of interest can occur. This work explores algorithmic innovations that improve the computational complexity of classical Howells-Applebaum adaptive nulling algorithm to enable fast, real-time adaptive operation at significantly lower arithmetic complexity. Design examples for AI-enabled sensing and perception across a 32-element antenna receiver with 32 independent channels and a Xilinx Virtex-6 Sx475 FPGA backend are discussed. Examples show computer architecture for digital signal processing and AI algorithms operating on the FPGA, with real-time measurements for spectrum sensing and modulation recognition on the RadioML2018.a dataset with and without the proposed adaptive nullforming system. A general adversarial AI-based spectrum perception architecture that allows both jamming of opponents while simultaneously nulling out RFI and conducting AI-based radio intelligence applications is examined and demonstrated in the 5.7-5.8 GHz band using a 32 element real-time FPGA realization. Modulation recognition is demonstrated for 16/32-QAM signals under heavy RFI conditions with additional “in the wild” RFI sources present.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"426-438"},"PeriodicalIF":2.3,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Analysis of a Novel UHF RFID Soil Moisture Sensor for Smart Farming 一种新型超高频RFID智能农业土壤湿度传感器的设计与分析

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-06-16 DOI: 10.1109/JRFID.2025.3580012

Srabana Maiti;Shuvashis Dey

引用次数: 0

Memristor-Based Circuits and Architectures Enabling Next-Generation Neuromorphic RFID Systems 基于忆阻器的电路和架构实现下一代神经形态RFID系统

IF 2.3

IEEE journal of radio frequency identification Pub Date : 2025-06-12 DOI: 10.1109/JRFID.2025.3579260

Riccardo Colella;Alberto Arciello;Giuseppe Grassi;Massimo Merenda

{"title":"Memristor-Based Circuits and Architectures Enabling Next-Generation Neuromorphic RFID Systems","authors":"Riccardo Colella;Alberto Arciello;Giuseppe Grassi;Massimo Merenda","doi":"10.1109/JRFID.2025.3579260","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3579260","url":null,"abstract":"Current RFID circuits, designed primarily for basic low-power communication and data storage, are not suitable to meet the computational needs of future AI-based IoT applications. While effective for simple identification tasks, these systems fall short in supporting advanced data processing and on-chip intelligence. Next-generation neuromorphic RFID circuits are expected to dynamically adapt based on external inputs and emulate biological neuron activity, paving the way for intelligent, low-power, and autonomous devices. This paper explores the potential of neuromorphic RFID systems driven by memristor-based architectures, leveraging ReRAM technology and crossbar arrays. ReRAM offers key advantages, including reduced energy consumption, essential for enabling local processing and real-time decision-making in intelligent RFID nodes. To demonstrate this potential, a <inline-formula> <tex-math>$2times 2$ </tex-math></inline-formula> crossbar circuit was designed and simulated in LTspice using Biolek’s memristor model. The analysis examined the circuit’s response to read and EPC-like inputs, state variable dynamics, and digital output behavior. Operating at microwatt-level power consumption and capable of processing sensor signals, the proposed architecture shows promise as a foundational building block for future low-power, intelligent, and autonomous RFID systems.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"384-394"},"PeriodicalIF":2.3,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0