A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor
Due to the instability of the characteristics of materials, fabrication processes and user handling, newly designed and fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsiste...
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doaj-0fddefe7cbb54e8db18d45fba52d35bb2021-04-05T17:39:24ZengIEEEIEEE Access2169-35362021-01-019482364824310.1109/ACCESS.2021.30655649376976A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure SensorZhaozhao Tang0https://orcid.org/0000-0002-6814-2131Wenyan Wu1Jinliang Gao2Jingting Luo3Ran Tao4Chen Fu5Luoyun Xu6Key Laboratory of Optoelectronic Devices and Systems, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, ChinaSchool of Engineering and the Built Environment, Birmingham City University, Birmingham, U.K.School of Environment, Harbin Institute of Technology, Harbin, ChinaKey Laboratory of Optoelectronic Devices and Systems, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, ChinaKey Laboratory of Optoelectronic Devices and Systems, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, ChinaKey Laboratory of Optoelectronic Devices and Systems, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, ChinaHuadian Electric Power Research Institute, Hangzhou, ChinaDue to the instability of the characteristics of materials, fabrication processes and user handling, newly designed and fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsistences under complex working conditions. In this paper, a multi-iteration enhanced two-point simple moving average (MI-2P-SMA) method is proposed for sensing error reduction of a WP-SAW reflective delay line water temperature and pressure sensor. This method is improved from the traditional 2P-SMA method for better performance on error reduction. The results show: the MI-2P-SMA method does not change the original characteristics of experimental data; it can reduce relative errors of the WP-SAW reflective delay line water temperature and pressure sensor and has better performance than a traditional 2P-SMA method; it reduces the number of data points and the extent of this reduction is dependent on iteration time.https://ieeexplore.ieee.org/document/9376976/Multi-iterationtwo-point simple moving averageerror reductiontemperaturepressuresurface acoustic wave |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhaozhao Tang Wenyan Wu Jinliang Gao Jingting Luo Ran Tao Chen Fu Luoyun Xu |
spellingShingle |
Zhaozhao Tang Wenyan Wu Jinliang Gao Jingting Luo Ran Tao Chen Fu Luoyun Xu A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor IEEE Access Multi-iteration two-point simple moving average error reduction temperature pressure surface acoustic wave |
author_facet |
Zhaozhao Tang Wenyan Wu Jinliang Gao Jingting Luo Ran Tao Chen Fu Luoyun Xu |
author_sort |
Zhaozhao Tang |
title |
A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor |
title_short |
A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor |
title_full |
A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor |
title_fullStr |
A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor |
title_full_unstemmed |
A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor |
title_sort |
multi-iteration enhanced 2p-sma method for improved error reduction on a wp-saw water temperature and pressure sensor |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
Due to the instability of the characteristics of materials, fabrication processes and user handling, newly designed and fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsistences under complex working conditions. In this paper, a multi-iteration enhanced two-point simple moving average (MI-2P-SMA) method is proposed for sensing error reduction of a WP-SAW reflective delay line water temperature and pressure sensor. This method is improved from the traditional 2P-SMA method for better performance on error reduction. The results show: the MI-2P-SMA method does not change the original characteristics of experimental data; it can reduce relative errors of the WP-SAW reflective delay line water temperature and pressure sensor and has better performance than a traditional 2P-SMA method; it reduces the number of data points and the extent of this reduction is dependent on iteration time. |
topic |
Multi-iteration two-point simple moving average error reduction temperature pressure surface acoustic wave |
url |
https://ieeexplore.ieee.org/document/9376976/ |
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