On the sampling frequency characteristics of the passive radio frequency vibration sensing tags in electromagnetic interference environments

Abstract The vibration sensing technology based on passive radio frequency (PRF) tags is a promising non-contact vibration monitoring method. To improve its vibration measurement performance and practicality necessitates ensuring a limited sampling frequency. Nonetheless, current research primarily focuses on the influence of electromagnetic interference on sensing accuracy, while neglecting its effect on the sampling frequency. Firstly, based on PRF vibration sensing tags, the significant impact of electromagnetic interference sources on the sampling frequency is investigated. It is found that electromagnetic interference notably reduces the sampling frequency, even leading to the tags being unrecognizable. Furthermore, the influence of electromagnetic interference on the tag sampling frequency is studied by varying the motor interference conditions and quantifying the corresponding electromagnetic intensity. Subsequently, the fundamental reason for the significant reduction in sampling frequency is thoroughly investigated by simultaneously analyzing the characteristics of the link layer and the communication protocol layer. By analyzing the amplitude domain and timestamp information of the received signal strength indicator signals, it is found that electromagnetic interference reduces the efficiency of PRF vibration sensing tags in energy acquisition and introduces timing errors in information transmission. It triggers a retransmission mechanism, ultimately leading to a significant decrease in sampling frequency.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2025-06-16
DOI
https://doi.org/10.1088/1402-4896/ade4e7
Citations
1
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the sampling frequency characteristics of the passive radio frequency vibration sensing tags in electromagnetic interference environments

Jianhua Yang, Kaixuan Ma, Tao Gong, Zhongqiu Wang et al.
1 citations
Physica Scripta
Indoor and Outdoor Localization Technologies
0.73
article

On the sampling frequency characteristics of the passive radio frequency vibration sensing tags in electromagnetic interference environments

Jianhua Yang, Kaixuan Ma, Tao Gong, Zhongqiu Wang, Litai Lou, Pengpeng Chen
article en
1 citations

Abstract

Abstract The vibration sensing technology based on passive radio frequency (PRF) tags is a promising non-contact vibration monitoring method. To improve its vibration measurement performance and practicality necessitates ensuring a limited sampling frequency. Nonetheless, current research primarily focuses on the influence of electromagnetic interference on sensing accuracy, while neglecting its effect on the sampling frequency. Firstly, based on PRF vibration sensing tags, the significant impact of electromagnetic interference sources on the sampling frequency is investigated. It is found that electromagnetic interference notably reduces the sampling frequency, even leading to the tags being unrecognizable. Furthermore, the influence of electromagnetic interference on the tag sampling frequency is studied by varying the motor interference conditions and quantifying the corresponding electromagnetic intensity. Subsequently, the fundamental reason for the significant reduction in sampling frequency is thoroughly investigated by simultaneously analyzing the characteristics of the link layer and the communication protocol layer. By analyzing the amplitude domain and timestamp information of the received signal strength indicator signals, it is found that electromagnetic interference reduces the efficiency of PRF vibration sensing tags in energy acquisition and introduces timing errors in information transmission. It triggers a retransmission mechanism, ultimately leading to a significant decrease in sampling frequency.

Physica ScriptaVol. 100(7)
China University of Mining and Technology (CN)
National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions
Openalex Percentile: Top 27%
Indoor and Outdoor Localization Technologies
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.