Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

On-chip Fourier-transform spectrometers and machine learning: a new route to smart photonic sensors

Not Accessible

Your library or personal account may give you access

Abstract

Miniaturized silicon photonics spectrometers capable of detecting specific absorption features have great potential for mass market applications in medicine, environmental monitoring, and hazard detection. However, state-of-the-art silicon spectrometers are limited by fabrication imperfections and environmental conditions, especially temperature variations, since uncontrolled temperature drifts of only 0.1°C distort the retrieved spectrum precluding the detection and classification of the absorption features. Here we present a new strategy that exploits the robustness of machine learning algorithms to signal imperfections, enabling recognition of specific absorption features in a wide range of environmental conditions. We combine on-chip spatial heterodyne Fourier-transform spectrometers and supervised learning to classify different input spectra in the presence of fabrication errors, without temperature stabilization or monitoring. We experimentally show the differentiation of four different input spectra under an uncontrolled 10°C range of temperatures, about $ 100\times $ increase in operational range, with a success rate up to 82.5% using state-of-the-art support vector machines and artificial neural networks.

© 2019 Optical Society of America

Full Article  |  PDF Article
More Like This
On-chip monolithic Fourier transform spectrometers assisted by cGAN spectral prediction

Huijie Wang, Yilin Bao, Jinlan Tang, Qifeng Li, Wei Shi, and Xiangyun Ma
Opt. Lett. 46(17) 4288-4291 (2021)

Temperature dependence mitigation in stationary Fourier-transform on-chip spectrometers

Alaine Herrero-Bermello, Aitor V. Velasco, Hugh Podmore, Pavel Cheben, Jens H. Schmid, Siegfried Janz, María L. Calvo, Dan-Xia Xu, Alan Scott, and Pedro Corredera
Opt. Lett. 42(11) 2239-2242 (2017)

On-chip Fourier transform spectrometer on silicon-on-sapphire

Elham Heidari, Xiaochuan Xu, Chi-Jui Chung, and Ray T. Chen
Opt. Lett. 44(11) 2883-2886 (2019)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (1)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Metrics

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved