D. Piumwardane, Madhushanka Padmal, V. Ranganathan, C. Rohner, T. Voigt
{"title":"HarmonicID: An Identification System for Low-Power Analog Backscatter Tags","authors":"D. Piumwardane, Madhushanka Padmal, V. Ranganathan, C. Rohner, T. Voigt","doi":"10.1109/rfid54732.2022.9795971","DOIUrl":"https://doi.org/10.1109/rfid54732.2022.9795971","url":null,"abstract":"Backscatter tags consume extremely low power and are activated by an external carrier for sensing and communication purposes. Analog backscatter tags achieve further power and cost reductions by moving digitization and computation overhead to a remote receiver. Analog transmissions do not have a digital frame structure to convey control information such as addresses. Therefore, when multiple tags are deployed without such ID it is challenging to associate received data with specific tags. We present a novel fully analog tag identification mechanism that is inspired by musical instruments. Each instrument has a unique harmonic content and therefore the human ear can distinguish different musical instruments even when they are playing at the same frequency. By tuning the tags to reflect a unique harmonic content we enable identification of purely analog tags. Our results show that we can create identities for tags by leveraging signal conditioning to modify harmonics, without the need to add dedicated digital blocks for identification purposes. Experiments on our hardware demonstrate that we can successfully identify the tags even in challenging scenarios such as when they are blocked by walls or in motion.","PeriodicalId":268172,"journal":{"name":"2022 IEEE International Conference on RFID (RFID)","volume":"4 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128964254","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}
{"title":"A chamber for stocktaking of courier parcels in a dense environment","authors":"M. Grabia, Tomasz Markowski","doi":"10.1109/rfid54732.2022.9795964","DOIUrl":"https://doi.org/10.1109/rfid54732.2022.9795964","url":null,"abstract":"The article describes the course of research of a R&D project to develop a chamber for the separation of reading a UHF RFID multiple tags in a dense environment. The necessity to apply the developed solution resulted from the operational conditions of the national postal operator in Poland (Poczta Polska SA). During the pilot implementation of the UHF RFID system on the gates of distribution centers, it was found that in order to identify the inhomogeneous content of pallet loading units, containing up to 200 different packages of unknown content, it will be necessary to build a solution that allows the use of the maximum radiation power of the reader with simultaneous radio separation from the environment. At the same time, the developed solution uses the phenomenon of electromagnetic wave reflections, generated by the metal housing of the scanning chamber, to eliminate dead areas and the adverse interaction of a significant number of tags contained in the collective packaging. The developed solution made it possible to obtain basically 100% efficiency of reading the tagged parcels with the simultaneous full automation of the inventory process.","PeriodicalId":268172,"journal":{"name":"2022 IEEE International Conference on RFID (RFID)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127753662","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}
{"title":"An All-Digital 1.25 Mbps 5-Subcarrier OFDM Backscatter Uplink with Delta-Sigma Modulation for Improved Spurious-Free Dynamic Range","authors":"James D. Rosenthal, M. Reynolds","doi":"10.1109/rfid54732.2022.9795980","DOIUrl":"https://doi.org/10.1109/rfid54732.2022.9795980","url":null,"abstract":"This paper describes an all-digital backscatter modulation approach leveraging delta-sigma modulation (DSM) to improve the in-channel spectral characteristics of orthogonal frequency division multiplexed (OFDM) backscatter communication. We demonstrate through numerical simulations and experimental validation that DSM can improve the spurious-free dynamic range (SFDR) of OFDM subcarriers generated by a low-resolution impedance digital-to-analog converter (DAC), such as an RF switch having two or four different impedance states. We present the design and validation of a prototype OFDM backscatter uplink with DSM implemented with all-digital logic in an FPGA. A single-pole-four-throw CMOS RF switch (i.e. 2-bits of impedance DAC resolution) serves as the backscatter modulator. We experimentally validated the DSM approach with a 2.4 GHz, five-subcarrier OFDM backscatter uplink and a four-times oversampling DSM at up to 1.25 Mbps. In this scenario, the DSM improved the SFDR by 4.3 dB within the subcarrier band while reducing the overall noise floor in the same band by 11.3 dB. These results confirm that a DSM approach can be used to control quantization noise and improve the spectral characteristics of low-resolution digital impedance modulators for backscatter communication in scenarios where in-channel SFDR is more important than wideband noise performance.","PeriodicalId":268172,"journal":{"name":"2022 IEEE International Conference on RFID (RFID)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124773018","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}
{"title":"SA-Loc: Scenario Adaptive Localization in Highly Dynamic Environment using Adversarial Regressive Domain Adaptation","authors":"L. Chu, Abdullah A. Alghafis, A. Molisch","doi":"10.1109/rfid54732.2022.9795983","DOIUrl":"https://doi.org/10.1109/rfid54732.2022.9795983","url":null,"abstract":"Localization based on signals from cellular base stations (BSs) or WiFi access points is important particularly in urban environments where street canyon effects impair GPS reception. A popular implementation is based on fingerprinting, where associations between channel characteristics and location of a moving terminal (MT) are measured in a training phase, and later (in the testing of operating phase) used to localize an MT measuring a particular channel. This paper considers the combination of labeled and unlabeled channel state information (CSI) for such finger-printing based localization, in particular to account for the fact that moving objects like cars can change the CSI between training and testing. To enhance the robustness of the localization against these and other “unseen” scenarios, we propose a solution approach based on a deep domain adaptation (DA) framework. The proposed method contains an unsupervised domain adaptation regression and an adversarial training module. The first component aims to learn discriminative fingerprinting representations jointly with data collected from seen and unseen scenes. The second one alleviates the distribution divergence of fingerprints collected from seen and unseen scenes, which eventually enables effective knowledge transfer. Finally, we evaluate the performance of the proposed method in a challenging setup, the recently released dynamic scenario in the DeepMIMO dataset. The results demonstrate that the proposed method can provide robust and accurate location estimation over variable numbers of the time-varying scenarios, with superior performance over other compared methods.","PeriodicalId":268172,"journal":{"name":"2022 IEEE International Conference on RFID (RFID)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123628771","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}
J. Mitsugi, Osamu Tokumasu, H. Ichikawa, Takanao Ochiai, Yuusuke Kawakita
{"title":"Experimental Evaluation of Wireless Transport Package Test with Battery-free Backscatter Sensors","authors":"J. Mitsugi, Osamu Tokumasu, H. Ichikawa, Takanao Ochiai, Yuusuke Kawakita","doi":"10.1109/rfid54732.2022.9795984","DOIUrl":"https://doi.org/10.1109/rfid54732.2022.9795984","url":null,"abstract":"Transport package test represents the integrity check of packaged commercial products exposed to an emulated transportation environment such as vibrations and shocks. This paper examines the practicality of wireless transport package test with a backscatter streaming system with battery-free backscat-ter sensors by extensive experiments. The system bases on Gen2 protocol with a set of streaming extensions. Random vibration and drop tests, defined in an ISO standard, were performed on a test subject PC. The measurement accuracy of the backscatter streaming system was compared with that of wired sensor to reveal that the accuracy of the system is sufficient for basic transport package test conditions. It was confirmed that the wireless, battery-less and lightweight natures of the backscatter sensor facilitate the test preparation and configuration changes, and is advantageous in continuous wireless streaming. In addition to the merits, the limitations of the system in transport package test are also discussed.","PeriodicalId":268172,"journal":{"name":"2022 IEEE International Conference on RFID (RFID)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130788902","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}
J. Melià-Seguí, Imanol Rojas, Jon Lejarreta-Andrés, Xavier Vilajosana
{"title":"Towards Measurement Range Extension of UHF RFID Temperature Sensors for Industrial Applications","authors":"J. Melià-Seguí, Imanol Rojas, Jon Lejarreta-Andrés, Xavier Vilajosana","doi":"10.1109/rfid54732.2022.9795975","DOIUrl":"https://doi.org/10.1109/rfid54732.2022.9795975","url":null,"abstract":"Digitization is a priority and a key tool to support the development of the Industry 4.0. Many industries, like the automotive sector, rely on complex and costly processes that are still not completely digitized, suffering from poor traceability and limited optimization options due to the lack of proper knowledge of the process internals. In this article we focus on a highly relevant industrial process as part of the automotive assembly line, the painting process, which requires a fine control of the entire cycle temperature without requiring costly operations or complex human interventions. In this article, we propose a novel cost-efficient method for sensing high temperatures with standard UHF RFID sensors. By using low thermal transmission insulation and polynomial models, we achieve to predict temperatures around 200°C/400°F with 1.5 % error. We believe our proposal opens novel opportunities in the industry to a more cost-efficient fine-grained and process tailored temperature measurement under high temperature conditions.","PeriodicalId":268172,"journal":{"name":"2022 IEEE International Conference on RFID (RFID)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122080518","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}
Talha Akyıldız, Raymond Ku, Nicholas Harder, Najme Ebrahimi, Hessam Mahdavifar
{"title":"ML-Aided Collision Recovery for UHF-RFID Systems","authors":"Talha Akyıldız, Raymond Ku, Nicholas Harder, Najme Ebrahimi, Hessam Mahdavifar","doi":"10.1109/rfid54732.2022.9795968","DOIUrl":"https://doi.org/10.1109/rfid54732.2022.9795968","url":null,"abstract":"We propose a collision recovery algorithm with the aid of machine learning (ML-aided) for passive Ultra High Fre-quency (UHF) Radio Frequency Identification (RFID) systems. The proposed method aims at recovering the tags under collision to improve the system performance. We first estimate the number of tags from the collided signal by utilizing machine learning tools and show that the number of colliding tags can be estimated with high accuracy. Second, we employ a simple yet effective deep learning model to find the experienced channel coefficients. The proposed method allows the reader to separate each tag's signal from the received one by applying maximum likelihood decoding. We perform simulations to illustrate that the use of deep learning is highly beneficial and demonstrate that the proposed approach boosts the throughput performance of the standard framed slotted ALOHA (FSA) protocol from 0.368 to 1.837, where the receiver is equipped with a single antenna and capable of decoding up to 4 tags.","PeriodicalId":268172,"journal":{"name":"2022 IEEE International Conference on RFID (RFID)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131349724","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}