| Item type |
文献 / Documents(1) |
| 公開日 |
2021-12-02 |
| アクセス権 |
|
|
アクセス権 |
open access |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版社版DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.3390/s21072306 |
|
|
言語 |
ja |
|
|
関連名称 |
10.3390/s21072306 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
Accurate Peak Detection for Optical Sensing with Reduced Sampling Rate and Calculation Complexity |
|
言語 |
en |
| 著者 |
Sung, Jiun-Yu
Chen, Jin-Kai
Liaw, Shien-Kuei
岸川, 博紀
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Fiber Bragg gratings (FBGs) are widely applied in optical sensing systems due to their advantages including being simple to use, high sensitivity, and having great potential for integration into optical communication systems. A common method used for FBG sensing systems is wavelength interrogation. The performance of interrogation based sensing systems is significantly determined by the accuracy of the wavelength peak detection processing. Direct maximum value readout (DMVR) is the simplest peak detection method. However, the detection accuracy of DMVR is sensitive to noise and the sampling resolution. Many modified peak detection methods, such as filtering and curve fitting schemes, have been studied in recent decades. Though these methods are less sensitive to noise and have better sensing accuracy at lower sampling resolutions, they also confer increased processing complexity. As massive sensors may be deployed for applications such as the Internet of things (IoT) and artificial intelligence (AI), lower levels of processing complexity are required. In this paper, an efficient scheme applying a three-point peak detection estimator is proposed and studied, which shows a performance that is close to the curve fitting methods along with reduced complexity. A proof-of-concept experiment for temperature sensing is performed. 34% accuracy improvement compared to the DMVR is demonstrated. |
|
言語 |
en |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
optical sensing |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
fiber Bragg grating (FBG) |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
peak detection |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
fitting |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
regression |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
filtering |
| 書誌情報 |
en : Sensors
巻 21,
号 7,
p. 2306,
発行日 2021-03-25
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
14248220 |
| 出版者 |
|
|
出版者 |
MDPI |
|
言語 |
en |
| 権利情報 |
|
|
言語 |
en |
|
権利情報 |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| EID |
|
|
識別子 |
374594 |
|
識別子タイプ |
URI |
| 言語 |
|
|
言語 |
eng |
sensors_21_7_2306.pdf (6.04 MB)
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