Distributed Optical Fiber Sensing: Techniques and Applications
A special issue of Photonics (ISSN 2304-6732).
Deadline for manuscript submissions: 28 February 2025 | Viewed by 650
Special Issue Editors
Interests: lidar; optical signal processing; microwave photonics; nonlinear optics
Special Issues, Collections and Topics in MDPI journals
Interests: optical signal processing; machine learning; artificial intelligence; optical sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Distributed optical fiber sensors (DOFSs) have attracted increasing attention in the last decade. Since the entire optical fiber itself can be used as an array of sensing elements, DOFSs can greatly reduce the overall cost of the sensing system and can include numerous sensing points over a long distance. A wide range of sensing parameters, such as strain, temperature, and acoustic disturbance, can be measured by detecting and analyzing different types of backscattering in a sensing fiber, including Rayleigh backscattering, Brillouin backscattering, and Raman backscattering. Though DOFSs have been investigated extensively in both academic and industrial fields in the last decade, there are still many challenges in both upgrading DOFSs to achieve better sensing performance and exploring new application fields.
In this Special Issue, we will focus on the latest research of DOFSs and their applications. Original research articles and reviews are both welcome. Topics may include (but are not limited to) the following:
- Principles of novel distributed optical fiber sensing systems;
- Innovative techniques for DOFS performance enhancements, e.g., improving sensing distance, spatial resolution, frequency response, dynamic range, sensitivity, and so on;
- Advanced signal processing methods for DOFSs, including AI-based algorithms;
- Applications and field trials of DOFSs.
We look forward to receiving your contributions.
Dr. Kun Zhu
Dr. Huan Wu
Dr. Bin Zhou
Guest Editors
Manuscript Submission Information
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Keywords
- fiber optic sensors
- distributed optical fiber sensing
- Rayleigh, Raman, and Brillouin scattering
- sensing signal processing
- machine learning
- artificial intelligence
- infrastructure monitoring
- applications in geoscience
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