Spatial Signal Attenuation Model of Active RFID Tags

How to improve localization accuracy is a big challenge for highly dynamic and sparse industrial scenarios with active RFID tags. Since antenna of active tag is anisotropic, its emitting signal propagates damply with transmission distance and emitting orientation. In this paper, we aim at modeling a...

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Main Authors: Shouzhi Xu, Huan Zhou, Changzhi Wu, Chung-Ming Huang, Sungkon Moon
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8262656/
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spelling doaj-ef8f3d0b7b9647b797cd62e55fcf6b012021-03-29T20:38:27ZengIEEEIEEE Access2169-35362018-01-0166947696010.1109/ACCESS.2018.27945568262656Spatial Signal Attenuation Model of Active RFID TagsShouzhi Xu0Huan Zhou1https://orcid.org/0000-0003-4007-7224Changzhi Wu2Chung-Ming Huang3https://orcid.org/0000-0001-7195-4264Sungkon Moon4College of Computer and Information Technology, China Three Gorges University, Yichang, ChinaCollege of Computer and Information Technology, China Three Gorges University, Yichang, ChinaAustralasian Joint Research Centre for BIM, Curtin University, Bentley, WA, AustraliaCollege of Computer and Information Technology, China Three Gorges University, Yichang, ChinaDepartment of Civil and Construction Engineering, Centre for Sustainable Infrastructure, School of Engineering, Swinburne University of Technology, Melbourne, VIC, AustraliaHow to improve localization accuracy is a big challenge for highly dynamic and sparse industrial scenarios with active RFID tags. Since antenna of active tag is anisotropic, its emitting signal propagates damply with transmission distance and emitting orientation. In this paper, we aim at modeling anisotropic signal attenuation of active RFID tags by analyzing measurement data in real environment. As the features of signal attenuation with transmission distance on different signal-emitting orientations are the same, two basic models are regressed using experimental data firstly: 1) directional signal-distribution models for both horizontal and vertical orientation in a certain distance; 2) an attenuation model of RF signal with transmitting distance along one direction. Afterwards, an Anisotropic Signal Attenuation Model of active RFID tag (ASAM) is deduced. Furthermore, a noise filtering model in a tag-grid environment is optimized for the spatial model ASAM. Finally, the experimental results in 400-square-meter experimental field show that the average standard deviation (STD) of the optimized model reduces by 50% when the STD is bigger than 4-dB, and the probability distribution is over 70% when the deviation is less than 2.https://ieeexplore.ieee.org/document/8262656/Active RFID taganisotropic signalattenuation model
collection DOAJ
language English
format Article
sources DOAJ
author Shouzhi Xu
Huan Zhou
Changzhi Wu
Chung-Ming Huang
Sungkon Moon
spellingShingle Shouzhi Xu
Huan Zhou
Changzhi Wu
Chung-Ming Huang
Sungkon Moon
Spatial Signal Attenuation Model of Active RFID Tags
IEEE Access
Active RFID tag
anisotropic signal
attenuation model
author_facet Shouzhi Xu
Huan Zhou
Changzhi Wu
Chung-Ming Huang
Sungkon Moon
author_sort Shouzhi Xu
title Spatial Signal Attenuation Model of Active RFID Tags
title_short Spatial Signal Attenuation Model of Active RFID Tags
title_full Spatial Signal Attenuation Model of Active RFID Tags
title_fullStr Spatial Signal Attenuation Model of Active RFID Tags
title_full_unstemmed Spatial Signal Attenuation Model of Active RFID Tags
title_sort spatial signal attenuation model of active rfid tags
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description How to improve localization accuracy is a big challenge for highly dynamic and sparse industrial scenarios with active RFID tags. Since antenna of active tag is anisotropic, its emitting signal propagates damply with transmission distance and emitting orientation. In this paper, we aim at modeling anisotropic signal attenuation of active RFID tags by analyzing measurement data in real environment. As the features of signal attenuation with transmission distance on different signal-emitting orientations are the same, two basic models are regressed using experimental data firstly: 1) directional signal-distribution models for both horizontal and vertical orientation in a certain distance; 2) an attenuation model of RF signal with transmitting distance along one direction. Afterwards, an Anisotropic Signal Attenuation Model of active RFID tag (ASAM) is deduced. Furthermore, a noise filtering model in a tag-grid environment is optimized for the spatial model ASAM. Finally, the experimental results in 400-square-meter experimental field show that the average standard deviation (STD) of the optimized model reduces by 50% when the STD is bigger than 4-dB, and the probability distribution is over 70% when the deviation is less than 2.
topic Active RFID tag
anisotropic signal
attenuation model
url https://ieeexplore.ieee.org/document/8262656/
work_keys_str_mv AT shouzhixu spatialsignalattenuationmodelofactiverfidtags
AT huanzhou spatialsignalattenuationmodelofactiverfidtags
AT changzhiwu spatialsignalattenuationmodelofactiverfidtags
AT chungminghuang spatialsignalattenuationmodelofactiverfidtags
AT sungkonmoon spatialsignalattenuationmodelofactiverfidtags
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