Program

2021 2021 IEEE International Conference on RFID (RFID)  
Device-free localization methods allow users to benefit from location-aware services and smart environments without the need to wear a transponder or carry a mobile device continuously. However, conventional radio tomographic imaging approaches that place active wireless sensor nodes around the perimeter of a living space for localization require wired power or continual battery maintenance, limiting usability and deployability. We present a real-time multi-user UHF RFID tomographic
more » ... system that employs a novel signal processing pipeline that uses communication channel parameters such as RSSI, RF Phase, and Read Rate to create tomograms which are processed by our custom-designed convolutional neural network to predict user's locations. Results show that our system is highly accurate, with an average mean error of 17.0 cm for a stationary user and 20.2 cm when walking and moving. We also demonstrate multi-user tracking with an average mean error of 39.4 cm. Overall, the method empowers a minimally intrusive, scalable, and deployable system for locating un-instrumented users in indoor environments. A welcome address to open the 2nd annual Workshop on Wireless Motion Capture and Fine-scale Localization as well as an overview for the newly-formed IEEE CRFID Technical Committee on Motion Capture and Localization. A summary of TC-MoCap's mission and future plans are included. These include additional workshops at two more CRFID-sponsored conferences later this year (IEEE RFID-TA and IEEE WiSEE) as well as a special issue call for papers for IEEE Journal on RFID in the area of Motion Capture and Localization. Systems integrators often struggle to understand and interpret radiation patterns of reader antennas to set up RFID read points to efficiently detect intended tags and avoid reading unwanted or stray tags. This poster presents a guide to make RFID deployments easier. Investigating the identification probability of passive acoustoelectronic sensors and identification tags needs to carry out a comparative assessment of the characteristics of signal detectors under different distribution. The paper compares noise with a Gaussian distribution and a non-Gaussian distribution that has heavier tails than the normal. Thus, the paper illustrates a comparative estimation of the detector's characteristics. The results obtained provide adjustment tools for the detection thresholds Changement. This feature allows us to fix the probability of a false alarm. Differential RCS characterizes the aptitude of a tag to modulate the backscattered power and is classically estimated based on the variation of the in-phase and quadrature channels in the time domain. This paper presents the results detailed in [1] which introduces a generalization of the RCS backscattered by a tag and a new definition of the delta RCS in the frequency domain. The associated measurement is compared to the classical time domain based methods. Results show a good agreement with the different approaches with an error less than 0.5 dB and are only at 3.5 dB from the introduced bound. (Georgia Institute of Technology, USA) Of the more than 2200 satellites orbiting the earth, most are positioned in Low Earth Orbits (LEO) with extremely large angular velocities. The International Space Station, for example, orbits the earth in 90 min. Such an object stays within the Field of View of a particular point on earth for merely 3-5 min. In order to communicate with such satellites, the position of the satellite is tracked using certain algorithms such as the "Signal Based" and the "Program Based" methods [1]. The Signal and Program based methods of tracking are dead reckoning methods with a very high computational complexity and large margins of error. This creates challenges in the efficient communication or relay of messages and commands to LEO satellites. The rapid speed with which the satellites move across a ground RADAR's Field of View makes it extremely difficult to accurately predict and track a satellite as it moves along the sky, and present day trackers usually lag or show significant deviations from the actual satellite position. Satellite trackers typically compensate by spreading a high power beam over a larger solid angle, which leads to huge power wastage as well. The present effort proposes a Control Architecture for a system comprising of antenna arrays, motor controls and computer systems with fast interconnects for efficient and quick prediction of the position of a satellite along with sensors to handle feedback in order to reduce sensitivity to disturbances. Rotational Reconfigurable Antennas (RRAs) [2] prove to be extremely efficient in both producing narrow band beams in specific directions, and in simplifying the hardware required for transmitting and receiving signals. They serve as efficient abstractions of the traditional Phased Antenna Arrays. A time varying trajectory tracker algorithm has been proposed for the plant comprising of servo motors actuating RRA cells to produce beams having accurate azimuth and elevation throughout the time a satellite stays in the RRA array's field of view. The system was found to be controllable, observable and commandable and the proposed trajectory tracker behaves as though the disturbance is the only input to the overall system. Further prospects for optimal control using the Pareto Optimal Curve and Tichonov Regularization will also be discussed. This project proposes a highly efficient, novel and low cost method for tracking fast moving satellites using RF transmission and reception with minimum number of moveable parts and hence involves minimal energy dissipation compared to the traditional tracking systems. It also demonstrates a proof of concept and a basic embedded system set up with Servo Motors and RRA cells fabricated at the Interdisciplinary Design Commons. It is therefore highly relevant as an exploratory research field at the IEEE RFID Conference. This poster outlines work conducted as part of the year long Opportunity Research Scholars Program at Georgia Tech in collaboration with Viasat. It delineates the prototype of the satellite tracker and the underlying principles for optimal positioning of the beam. It also demonstrates potential optimization algorithms we shall be implementing as part of future work involving deploying a working prototype for Viasat. The authors believe that this novel method for efficient low cost LEO Satellite tracking can benefit from such a platform as the conference. References [1] A. Khanlari and F. MansourKiaie, "A new efficient algorithm for tracking LEO satellites," Recent industries have tried to use Radio Frequency Identification (RFID) to improve their services. The direction estimation scheme for tag movements is the recent interest to track objects with an RFID tag. This paper proposes a new direction estimation scheme of moving tags with an angled single antenna that is inexpensive and general antenna. The idea of the proposed scheme is to focus on asymmetric radio radiation with an angled antenna. The proposed scheme can estimate the direction of a tag movement based on the Received Signal Strength Indicator (RSSI) features and the phase value. The evaluation results showed that the proposed scheme could realize an accurate estimation for tag movements. ; Christian Rohner (Uppsala University, Sweden) RFID and backscatter allow for extremely low-power or battery-free tags by outsourcing the generation of the radio carrier wave to an external device such as an RFID reader. Recent advances in backscatter communication enables tags to both transmit and receive standards-compliant packets with sub-milliwatt power consumption. The ability to receive packets makes multi-hop tag-to-tag networking possible, a task that current backscatter networks currently provide only for limited topologies. Tag-to-tag networks further allow for novel applications such as wireless robotic materials that inherently require dense networks of such tags. In contrast to conventional networks, the tags' communication range in such networks depends heavily on the signal strength of the carrier wave at the transmitter and the receiver. In this paper, we demonstrate for the first time on real hardware multi-hop in backscatter-based networks using standardsbased protocols. We present analytical and simulation results that show that both the output power and the position of the carrier generator impact the reliability of the network. We finally demonstrate that simple flooding with a random forwarding delay is an efficient solution for transfering data in such networks. This paper presents two RFID localization methods based on a k-NN algorithm for multiple moving tracking tags attached to a concrete masonry unit (cinder block). This work uses passive RFID tags for localization and seeks to provide rapid wireless analysis for future smart infrastructure projects where precast concrete modular structures are moved during transport and assembly. The RFID localization system uses four reader antennas, four tracking tags, and 28 reference tags in a realistic indoor assembly environment. Results show average error in the direction of movement as low as 10.5 cm. Increasing the number of nearest neighbors in the k-NN algorithm is shown to reduce error in all coordinate directions. Increasing k from 4 to 6 is shown to reduce error by 4 cm or 10%. The localization environment is analyzed, and reference tags 22, 9, 5, and 8 around the moving cinder block are seen most commonly as nearest neighbors. A modified k-NN algorithm, described here as a weighted Euclidian distance k-NN algorithm is presented that reduces total error from 41.1 cm to 32.5 cm. This paper proposes a new type of real-time decimeter-level radio-frequency identification (RFID) positioning system at 5.8 GHz. The system uses received signal phase (RSP)-based positioning techniques and tunneling tags (TTs). TTs amplify the signal strength of their backscattered signals while preserving the phases allowing for ultra-precise position estimates at long distances. A proof-of-concept RSP-based realtime frequency hopping reader is implemented on Software-Defined Radio (SDR) and Universal Software Radio Peripheral (USRP) platform. Experimental results show an average one dimensional and twodimensional positioning accuracy of 11 cm and 17 cm, respectively, in outdoor environments.
doi:10.1109/rfid52461.2021.9444380 fatcat:4g4yxtwpszh7robhdrzh6blmxa