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Special Issue "Advanced Optical and Optomechanical Sensors"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: 31 December 2023 | Viewed by 844

Special Issue Editors

Dr. Jize Yan
E-Mail Website
Guest Editor
Electronics and Computer Science (ECS), University of Southampton, Southampton, UK
Interests: sensor technology; microsystems
School of Engineering and Materials Science, Queen Mary University of London, London, UK
Interests: optical sensors; imaging; instrumentation; photonic devices; machine learning
School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Interests: smart batteries; battery instrumentation; fibre optics; in situ monitoring; operando monitoring; electronics; state estimation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent decades, optical sensors have been one of the most rapidly growing sensor areas because of their simplicity, low cost, and quick response. Many well-established technologies, including free-space optics, integrated photonics, fiber optics approaches, and distributed fiber optic sensors have been developed to fabricate and develop increasingly efficient optical sensors. Optomechanical sensors are devices in which a certain aspect of light propagation is modified (modulated) by a mechanical variable. The precise nature of the modulation can take many different forms. Optomechanical sensors have found various applications not only in fundamental science, e.g., in quantum fields and fluid dynamics, but also in biological research, medical diagnosis, and environmental monitoring.

This Special Issue, therefore, aims to collect original research and review articles on the recent advances, technologies, solutions, applications, and new challenges in the field of optical sensors and optomechanical sensors.

Potential topics include, but are not limited to, the following:

  • Optical sensor technology and applications;
  • Optical sensors platform fabrication;
  • Optomechanical sensors technology and applications;
  • Optomechanical platforms fabrication;
  • Optomechanical sensing schemes;
  • Distributed fiber optic sensors.

Dr. Jize Yan
Dr. Lei Su
Dr. Yifei Yu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

Article
Nonlinearities in Fringe-Counting Compact Michelson Interferometers
Sensors 2023, 23(17), 7526; https://doi.org/10.3390/s23177526 - 30 Aug 2023
Viewed by 266
Abstract
Compact Michelson interferometers are well positioned to replace existing displacement sensors in the readout of seismometers and suspension systems, such as those used in contemporary gravitational-wave detectors. Here, we continue our previous investigation of a customised compact displacement sensor built by SmarAct that [...] Read more.
Compact Michelson interferometers are well positioned to replace existing displacement sensors in the readout of seismometers and suspension systems, such as those used in contemporary gravitational-wave detectors. Here, we continue our previous investigation of a customised compact displacement sensor built by SmarAct that operates on the principle of deep frequency modulation. The focus of this paper is the linearity of this device and its subsequent impact on sensitivity. We show the three primary sources of nonlinearity that arise in the sensor: residual ellipticity, intrinsic distortion of the Lissajous figure, and distortion caused by exceeding the velocity limit imposed by the demodulation algorithm. We verify the theoretical models through an experimental demonstration, where we show the detrimental impact that these nonlinear effects have on device sensitivity. Finally, we simulate the effect that these nonlinearities are likely to have if implemented in the readout of the Advanced LIGO suspensions and show that the noise from nonlinearities should not dominate across the key sub-10 Hz frequency band. Full article
(This article belongs to the Special Issue Advanced Optical and Optomechanical Sensors)
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Article
Reconfiguration Error Correction Model for an FBG Shape Sensor Based on the Sparrow Search Algorithm
Sensors 2023, 23(16), 7052; https://doi.org/10.3390/s23167052 - 09 Aug 2023
Viewed by 328
Abstract
A reconfiguration error correction model for an FBG shape sensor (FSS) is proposed. The model includes curvature, bending direction error correction, and the self-correction of the FBG placement angle and calibration error based on an improved sparrow search algorithm (SSA). SSA could automatically [...] Read more.
A reconfiguration error correction model for an FBG shape sensor (FSS) is proposed. The model includes curvature, bending direction error correction, and the self-correction of the FBG placement angle and calibration error based on an improved sparrow search algorithm (SSA). SSA could automatically correct the placement angle and calibration direction of the FBG, and then use the corrected placement angle and calibration direction to correct the curvature and bending direction of the FSS, thereby improving the accuracy of shape reconfiguration. After error correction, the tail point reconfiguration errors of different shapes were reduced from 2.56% and 4.96% to 1.12% and 2.45%, respectively. This paper provides a new reconfiguration error correction method for FSS that does not require a complicated experimental calibration process, is simpler, more efficient, and more operable than traditional methods, and has great potential in FSS application scenarios. Full article
(This article belongs to the Special Issue Advanced Optical and Optomechanical Sensors)
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