An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor
We present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The...
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doaj-9558c413927d4e9383948220161d54e62021-03-29T17:34:10ZengIEEEIEEE Photonics Journal1943-06552016-01-01831810.1109/JPHOT.2016.25644397466077An EMD-Based Filtering Algorithm for the Fiber-Optic SPR SensorTao Wang0Tiegen Liu1Kun Liu2Junfeng Jiang3Lin Yu4Meng Xue5Yunxia Meng6College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China North Automatic Control Technology Institute, Taiyuan, ChinaWe present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/°C at 20 °C and 626.9 pm/°C at 99 °C, resulting in temperature resolutions of 0.06 °C at 20 °C and 0.03 °C at 99 °C via the spectrometer resolution of 20 pm.https://ieeexplore.ieee.org/document/7466077/surface plasmon resonance (SPR)empirical mode decomposition (EMD)temperature sensor |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tao Wang Tiegen Liu Kun Liu Junfeng Jiang Lin Yu Meng Xue Yunxia Meng |
spellingShingle |
Tao Wang Tiegen Liu Kun Liu Junfeng Jiang Lin Yu Meng Xue Yunxia Meng An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor IEEE Photonics Journal surface plasmon resonance (SPR) empirical mode decomposition (EMD) temperature sensor |
author_facet |
Tao Wang Tiegen Liu Kun Liu Junfeng Jiang Lin Yu Meng Xue Yunxia Meng |
author_sort |
Tao Wang |
title |
An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor |
title_short |
An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor |
title_full |
An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor |
title_fullStr |
An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor |
title_full_unstemmed |
An EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensor |
title_sort |
emd-based filtering algorithm for the fiber-optic spr sensor |
publisher |
IEEE |
series |
IEEE Photonics Journal |
issn |
1943-0655 |
publishDate |
2016-01-01 |
description |
We present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/°C at 20 °C and 626.9 pm/°C at 99 °C, resulting in temperature resolutions of 0.06 °C at 20 °C and 0.03 °C at 99 °C via the spectrometer resolution of 20 pm. |
topic |
surface plasmon resonance (SPR) empirical mode decomposition (EMD) temperature sensor |
url |
https://ieeexplore.ieee.org/document/7466077/ |
work_keys_str_mv |
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