1,721,019 research outputs found
Current and Future Trends of RFID Systems: Guest Editorial of the Special Issue on SpliTech 2021 and IEEE RFID-TA 2021 Conferences
This year, the IEEE Journal of Radio Frequency Identification (JRFID), decided to host a joint Special Issue collecting extended versions of papers coming from two international events. The former is the IEEE International Conference on RFID Technology and Applications (RFID-TA) 2021, virtually held in Delhi, India, on October 6-8, 2021. The latter is the International Symposium on Advances in RFID Technology organized within the International Conference on Smart and Sustainable Technologies (SpliTech), hosted in Split and Bol, Croatia, on September 8-11, 2021. SpliTech was technically co-sponsored by the IEEE and technically media sponsored by the IEEE Council on RFID (CRFID)
Design Criteria for Near-Field-Focused Planar Arrays
A detailed performance analysis of near-fi eld-focused planar arrays is addressed. Design curves and performance data
are shown for planar square arrays as a function of the array size, the inter-element distance, and the focal distance. The
performance curves are compared with results presented in earlier studies relevant to continuous-aperture antennas, as
well as with numerical results obtained from a full-wave analysis of planar microstrip array
A Novel Phase-based Method for UHF-RFID Tag Localization via UAV
This paper presents a novel phase-based method for UHF-RFID tag localization in outdoor scenario. Phase measurements are acquired during circular trajectories of the reader antenna carried out by an Unmanned Aerial Vehicle (UAV). The standard deviation of such phase samples is employed as input parameter of the positioning method. Localization performance is investigated through a numerical analysis, by considering the uncertainty associated to the measurements of phase samples and reader antenna trajectory in real outdoor scenario
A Survey on Indoor Vehicle Localization through RFID Technology
This paper presents a state-of-the-art analysis on the methods suitable for vehicle indoor localization and exploiting the RFID (Radio Frequency IDentification) technology. The survey describes three main categories of vehicle localization systems: (i) solutions exploiting only the RFID technology, (ii) sensor-fusion techniques combining data from RFID systems and proprioceptive sensors, and (iii) sensor-fusion techniques combing RFID data with those of other exteroceptive sensors in addition to the RFID system itself. For each method, implementation and methodological details are discussed, by highlighting the applied RFID technology, namely passive HF-RFID, passive UHF-RFID, or any other RFID system. Also, the employed RFID parameters, i.e., tag EPC, RSSI or backscattered phase, are discussed. The survey focuses on the achievable localization performance, also accounting for infrastructure-deployment costs together with complexity and maintenance overhead. Positioning, tracking, navigation and simultaneous localization and mapping (SLAM) issues are here considered. The analysis highlights pros and cons of each method, together with the main challenges and perspectives of RFID-based solutions for vehicle localization
UHF-RFID smart gate: Tag action classifier by artificial neural networks
The application of Artificial Neural Networks (ANNs) to discriminate tag actions in UHF-RFID gate is presented in this paper. By exploiting Received Signal Strength Indicator values acquired in a real experimental scenario, a multi-layer perceptron neural network is trained to distinguish among tags incoming, outgoing or passing the RFID gate. A 99% accuracy can be obtained in tag classification by employing only one reader antenna and independently from tag orientation and typology
Experimental Analysis of Temperature Gradient Effect on Lithium batteries
This paper investigates the effects of temperature on the behavior of lithium-ion batteries during operation. In particular, we present the results of an experimental analysis aimed at investigating the effect on cell performance of a temperature gradient during the discharge phase. An ad-hoc experimental setup which includes an electronic load, power supply and climate chamber fully controlled through a software interface was developed to test the batteries. The devices under test are subjected to complete charge and discharge cycles at constant temperatures followed by discharge cycles with rising and falling thermal gradients.The effects of a downward (-25 degrees C in 15 min) and upward (+25 degrees C in 15 min) thermal gradient on battery capacity are discussed throughout the paper together with a comparison with constant average temperature discharge profile
SAR-based Localization of UHF-RFID Tags in Smart Warehouses
This paper presents the application of the SAR- based localization for UHF-RFID tags in smart warehouses, when readings are acquired along multiple apertures. The reader antenna motion is achieved through a robot typically employed for item inventory. Two different estimation methods are investigated. The first one foresees an average operation among consecutive estimated tag positions when the SAR-based method is applied to single trajectories. Indeed, the second one adopts the SAR-based method jointly to the phase data collected along multiple trajectories. The method applicability is discussed by considering different trajectory configurations and different sources of error through both numerical simulations and an experimental analysis
Robot Localisation using UHF-RFID Tags for Industrial IoT Applications
Autonomous systems are becoming more and more affordable and effective in dynamic industrial environments. Effective localisation algorithm are usually considered as enablers to increase the efficiency and the flexibility of industrial warehouses and production plants using automation. The paper presents a solution to both localise a mobile agent and reconstruct its entire trajectory through sensor fusion and using UHF-RFID passive tags. Solutions on dummy trajectories are reported to show the effectiveness of the proposed method
A UHF-RFID Multi-Antenna Sensor Fusion Enables Item and Robot Localization
This paper describes a UHF-RFID robotic system for tagged-item inventory and localization. A mobile robot is equipped with wheeled rotary encoders and a UHF-RFID reader connected to multiple antennas. At first, the robot reconstructs its trajectory by exploiting a sensor-fusion method combining odometry data with phase data gathered by on-board antennas from an infrastructure of passive reference tags. Then, it leverages its reconstructed trajectory to localize target tags placed at unknown locations through a multi-antenna synthetic-aperture-radar (SAR) approach. A Particle Swarm Optimization is applied to speed up the position estimation. An experimental campaign conducted in an office environment is presented to verify the system features and feasibility. The performance of the proposed method for both tag localization and robot self-localization is compared with respect to the case of trajectories reconstructed only by odometry data or through a commercial Laser Range Finder mounted on the robot. Particularly, the effect of the cumulated drift of the estimated trajectory on the tag localization performance is investigated
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