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

Bulky fiber spectrum analyzers constrain the application of white light interference-based demodulation of Fabry-Perot interferometric (FPI) sensors in practical measurement scenarios. The key to the miniaturization of the fiber Spectrometer is the reconstruction of the fiber spectrum. However, adva...

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Veröffentlicht in:	IEEE photonics technology letters 2022-12, Vol.34 (24), p.1337-1340
Hauptverfasser:	Chen, Shengchao, Ren, Sufen, Yang, Jianli, Yao, Feifan, Yang, Qian, Wang, Lu, Wang, Guanjun, Huang, Mengxing
Format:	Artikel
Sprache:	eng
Schlagworte:	Arrayed waveguide gratings Artificial intelligence Data collection Demodulation Fabry-Perot interferometers Fabry-Perot interferometric sensor Fiber optics Fiber spectrum reconstruction Interferometry Microelectromechanical systems Miniaturization neural network Neural networks Optical fiber networks Optical fiber sensors Optical reflection Reconstruction Sampling Spectrum analysers White light
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