Unsupervised Representation Learning-Based Spectrum Reconstruction for Demodulation of Fabry–Perot Interferometer Sensor-Reference-Cited by-同舟云学术

Unsupervised Representation Learning-Based Spectrum Reconstruction for Demodulation of Fabry–Perot Interferometer Sensor

Published:2023-06-15 Issue:12 Volume:23 Page:13810-13816
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Ren Sufen¹^ORCID,Chen Shengchao²^ORCID,Xu Haoyang¹,Hou Xuan¹,Yang Qian¹,Wang Guanjun¹^ORCID,Shen Chong¹

Affiliation:

1. State Key Laboratory of Marine Resource Utilization in South China Sea and the School of Information and Communication Engineering, Hainan University, Haikou, China

2. School of Information and Communication Engineering, Hainan University, Haikou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hainan Province

Open Project Program of Wuhan National Laboratory for Optoelectronics

Scientific Research Starting Foundation of Hainan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10152544/10122517.pdf?arnumber=10122517

Reference41 articles.

1. Fiber-optic temperature sensor using dual fabry-perot cavities filled with gas of different pressure

2. Reconstruction of Fabry-Perot Interferometric Sensor Spectrum From Extremely Sparse Sampling Points Using Dense Neural Network

3. Optical fiber axial contact force sensor based on bubble-expanded Fabry–Pérot interferometer

4. High-efficiency FBG array sensor interrogation system via a neural network working with sparse data

5. Review of salinity measurement technology based on optical fiber sensor

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