Optical Frequency Comb-Based Aerostatic Micro Pressure Sensor Aided by Machine Learning

Chen, Quanwei; Chen, Longxiang; Fu, Zixiang; Xie, Shusen; Lu, Qijing; Zhang, Xianzeng

doi:10.1109/jsen.2023.3301870

Cited by 3 publications

(1 citation statement)

References 53 publications

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“…In recent years, MRR has attracted broad research interest in sensing applications due to their compact footprint [1], [2], low power consumption [1], low cost [2], convenience of integration [1], easy fabrication [2], high sensitivity [2] and the ability to work with complimentary metal-oxide-semiconductor (CMOS) technology [3]. Today, the MRR are practical devices in sensing application fields such as biochemical [4]- [7], gas [8]- [10], temperature [11]- [13] and pressure sensors [14]- [17].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Vernier Effect through Integrated Add-Drop Microresonator for High Sensitivity All-Optical Sensing

Azrisham,

Aman,

Noorden

et al. 2024

Preprint

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The Vernier effect has recently sparked a lot of interest study in high sensitivity sensing due to its ability to suppress interstitial peaks and broaden the Free Spectral Range (FSR). An analytical simulation system was constructed to incorporate an add-drop Micro Ring Resonator (MRR) waveguide with partial reflecting air holes into the bus waveguide to acquire the interferometric resonance and generate the Vernier effect. The system was developed based on the scattering matrix method and the Optical Transfer Function (OTF). A comparison analysis has been conducted between Conventional Add-Drop (CAD) MRR and Interferometric Add-Drop (IAD) MRR configurations to measure the improved sensitivity. The spectrum was analyzed based on the FSR and the wavelength shift by the change of the refractive index. Both CAD and IAD-MRR have been optimized by varying the radii of the ring and the distance between the air holes in the bus waveguide. The optimized IAD configuration demonstrates a 166.11% enhancement in FSR value and yields higher sensitivity by 17.07% via the implementation of the reflecting holes in the bus waveguide. The IAD-MRR configuration also generated a higher Q factor value of more than four times than the CAD-MRR. These findings emphasize the potential of interferometric resonance in enhancing the Vernier effect thus achieving better performance of all-optical sensing applications.

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Section: Introductionmentioning

confidence: 99%

Enhancing Vernier Effect through Integrated Add-Drop Microresonator for High Sensitivity All-Optical Sensing

Azrisham,

Aman,

Noorden

et al. 2024

Preprint

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Multimode Sensing in a Whispering Gallery Mode Resonator Enabled by Transfer Machine Learning

Wang,

Lu,

Zhu

et al. 2024

IEEE Sensors J.

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High-precision ethanol concentration microsensor with global spectra aided by the multi-layer perceptron

Wang,

Liu,

Chen

et al. 2024

Opt. Express

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Whispering gallery mode (WGM) resonators can be used for precision measurement thanks to their high sensitivity, small size, and fast response time. Nevertheless, the design of such sensors is usually achieved by selecting a typical single-mode tracking method, which leads to low utilization of a great deal of information in the resonance spectrum and affects the precision. Here, we use the multi-layer perceptron (MLP) deep learning algorithm to train the global spectra and realize the high-precision measurement of ethanol concentration. Firstly, a large number of transmission spectra of different ethanol concentrations are collected and directly used as the original data sets. Secondly, the MLP algorithm is used for training and testing. Finally, the local feature dimension is extracted from the global features of the spectrum for prediction. The results show that the prediction accuracy of the global spectra sensing is 99.81%, which is 13.02% higher than that of extracting 10 local features. In addition, the prediction accuracy of the MLP is compared with four other commonly used machine learning (ML) algorithms, and the results show that the MLP algorithm has the highest prediction accuracy. Therefore, the high-precision ethanol concentration sensor proposed in this paper opens a new way for intelligent optical micro-resonator sensing.

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Optical Frequency Comb-Based Aerostatic Micro Pressure Sensor Aided by Machine Learning

Cited by 3 publications

References 53 publications

Enhancing Vernier Effect through Integrated Add-Drop Microresonator for High Sensitivity All-Optical Sensing

Enhancing Vernier Effect through Integrated Add-Drop Microresonator for High Sensitivity All-Optical Sensing

Multimode Sensing in a Whispering Gallery Mode Resonator Enabled by Transfer Machine Learning

High-precision ethanol concentration microsensor with global spectra aided by the multi-layer perceptron

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