Pub Date : 2024-03-11DOI: 10.1109/JRFID.2024.3375795
Lorenzo Bianchi;Emidio Di Giampaolo;Francesco Martinelli;Fabrizio Romanelli
We consider the close relative motion of two UHF RFID tags and the problem is the estimation of the distance between the two tags, by measuring the Received Signal Strength Indicator (RSSI) and the phase of the RFID signal backscattered by one of the two tags. Due to the short distance considered, and hence to the electromagnetic coupling between the antennas, the measured RSSI and phase present a complex and ambiguous dependence on the distance between the tags. The problem is solved through two approaches, based respectively on a Multi-Hypothesis Extended and a Multi-Hypothesis Unscented Kalman Filter (MHEKF and MHUKF). The availability of phase and RSSI allows to mitigate the ambiguity in the problem and to estimate the distance without any information on its initial value. Simulation and experimental results show the effectiveness of the approach, with the MHUKF presenting slightly better performances compared to the MHEKF. The proposed setup can be applied in manufacturing, robotics, safety and in any context where the variable distance between two close objects should be monitored.
我们考虑了两个超高频 RFID 标签的近距离相对运动,问题是通过测量接收信号强度指示器(RSSI)和两个标签之一反向散射的 RFID 信号的相位来估计两个标签之间的距离。由于所考虑的距离很短,因此天线之间存在电磁耦合,测量到的 RSSI 和相位与标签之间的距离有着复杂而模糊的关系。该问题通过两种方法来解决,分别基于多假设扩展卡尔曼滤波器(MHEKF)和多假设无标点卡尔曼滤波器(MHUKF)。有了相位和 RSSI,就可以减少问题的模糊性,并在没有任何初始值信息的情况下估计距离。仿真和实验结果表明了该方法的有效性,其中 MHUKF 的性能略优于 MHEKF。建议的设置可应用于制造、机器人、安全以及任何需要监控两个近距离物体之间可变距离的场合。
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Pub Date : 2024-03-08DOI: 10.1109/JRFID.2024.3398443
Joseph Patton;Alexander C. Barrie;Stewart Doe;Daniel Gershman;Levon Avanov;Ali Abedi
The Fast Plasma Investigation (FPI) is an instrument suite aboard NASA’s Magnetospheric Multiscale space physics mission, which is designed to study magnetic reconnection in the Earth’s magnetosphere. In this work, a predictive model of microchannel plate (MCP) current was developed for FPI to autonomously monitor the device currents. The results of an analysis of the resistance of the microchannel plates included in the FPI particle spectrometers are presented along with a new model that combines a physically-informed model of MCP resistance with an empirically-derived model of FPI instrument temperature. This improved estimation of MCP resistance allows for a more precise determination of nominal MCP current, enabling accurate detection of current anomalies.
{"title":"Automated Current Monitoring for Microchannel Plates on Fast Plasma Investigation","authors":"Joseph Patton;Alexander C. Barrie;Stewart Doe;Daniel Gershman;Levon Avanov;Ali Abedi","doi":"10.1109/JRFID.2024.3398443","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3398443","url":null,"abstract":"The Fast Plasma Investigation (FPI) is an instrument suite aboard NASA’s Magnetospheric Multiscale space physics mission, which is designed to study magnetic reconnection in the Earth’s magnetosphere. In this work, a predictive model of microchannel plate (MCP) current was developed for FPI to autonomously monitor the device currents. The results of an analysis of the resistance of the microchannel plates included in the FPI particle spectrometers are presented along with a new model that combines a physically-informed model of MCP resistance with an empirically-derived model of FPI instrument temperature. This improved estimation of MCP resistance allows for a more precise determination of nominal MCP current, enabling accurate detection of current anomalies.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"526-534"},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141334028","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}
ZeroPower devices are the next generation of Internet of Things. Typically taping from ambient energy, or activated by a remote reader, their first and foremost challenge is the operation distance from the nearest RF source. Unfortunately, these systems can only be activated within a range of a few tens of meters due to their minimum activation power (also named reading sensitivity). This work reduces the harvesting power to a new threshold of −28dBm ( $1.5 mu text{W}$