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Recent Advances in Fiber Optic Sensor Technology

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

Deadline for manuscript submissions: 30 June 2026 | Viewed by 596

Special Issue Editors


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Guest Editor
State Key Lab of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China
Interests: fiber sensor technologies; advanced optical communication systems and networks; convergent broadband multiservice-access communication systems; optical signal processing
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Guest Editor
1. College of Electronic Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China
2. Key Laboratory of Advanced Transducers and Intelligent Control Systems (Ministry of Education), Taiyuan University of Technology, Taiyuan 030024, China
Interests: optical fiber sensing and optical fiber communication; embedded systems; intelligent detection and control

Special Issue Information

Dear Colleagues,

In recent years, optical fiber sensing technology has resulted in significant advancements in various fields, including power, petroleum, the chemical industry, construction, transportation, healthcare, and environmental protection. With high sensitivity, immunity to electromagnetic interference, and miniaturization and long-distance transmission capabilities, optical fiber sensors have become a crucial component of modern intelligent sensing systems. As optical materials, optical fiber power transmission, and intelligent signal processing technologies continue to evolve, and the accuracy, stability, and application scope of optical fiber sensing are constantly expanding. This has enabled its vast potential in complex environment monitoring, smart cities, structural health monitoring, and biomedical sensing applications. This Special Issue will focus on the latest developments in the field of novel mechanism-based optical fiber sensors, advancements in optical fiber sensing systems, and their applications in complex scenarios.

Prof. Dr. Zhiguo Zhang
Prof. Dr. Baoquan Jin
Guest Editors

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Keywords

  • key technologies in optical fiber sensors
  • micro/nanostructured fiber-optic sensors
  • fiber-optic chemical and biological biosensors
  • novel point-based fiber optic sensors
  • novel sensing modalities for distributed sensors
  • new fiber and coating materials for sensing
  • emerging applications of optical fiber sensors
  • optical fiber sensor access networking and application technology
  • optical fiber sensor engineering and system integration technology
  • optical fiber power transmission technology and sensing applications
  • applications of fiber optic sensors in power, petroleum, and civil engineering industries

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Published Papers (1 paper)

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Research

17 pages, 7222 KB  
Article
OFDR Distributed Demodulation Optimization Algorithm Using Discrete-Time Analytic Signal Backscattered Rayleigh Spectrum
by Shuaipeng Wang, Haomao Wang, Zhiguo Zhang, Yifan Wang and Haichao Huang
Sensors 2025, 25(22), 7044; https://doi.org/10.3390/s25227044 - 18 Nov 2025
Viewed by 277
Abstract
We propose a novel distributed demodulation optimization algorithm for optical frequency domain reflectometry (OFDR). This algorithm applies discrete-time analytic (DTA) signals to the Rayleigh backscattered signal (RBS) reconstruction. The DTA-RBS algorithm utilizes only positive-frequency components in the distance domain and employs a frequency-domain [...] Read more.
We propose a novel distributed demodulation optimization algorithm for optical frequency domain reflectometry (OFDR). This algorithm applies discrete-time analytic (DTA) signals to the Rayleigh backscattered signal (RBS) reconstruction. The DTA-RBS algorithm utilizes only positive-frequency components in the distance domain and employs a frequency-domain construction method to generate DTA-RBS, thereby improving performance without increasing the computational complexity of the OFDR demodulation algorithm. By leveraging the envelope property, DTA-RBS enhances spectral feature information and intensity while effectively suppressing high-frequency noise and spurious oscillations introduced during reconstruction, thereby maintaining a higher correlation between the reference and test data. Comprehensive experimental validation demonstrates significant performance improvements across multiple metrics. Cross-correlation intensity analysis shows that the average peak intensity of DTA-RBS reaches 0.9527, compared to 0.9096 for the conventional method. Standard deviation measurements on unstrained fiber segments demonstrate a 63% improvement. Large-strain demodulation experiments show that DTA-RBS exhibits superior strain demodulation performance and robustness, whereas the conventional method produces anomalous data points due to false peaks obscuring genuine correlation peaks. These results confirm that the DTA-RBS method provides a theoretically rigorous and practically effective approach for enhancing the sensing accuracy, stability, and robustness of OFDR in high-precision distributed measurement applications. Full article
(This article belongs to the Special Issue Recent Advances in Fiber Optic Sensor Technology)
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