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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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 |
_version_ |
1724194473022324736 |