Recent advances in time-expansion distributed sensing technology

Time-expansion technology has emerged as a promising approach to enhance the spatial resolution of time-resolved distributed fiber sensing systems. By leveraging dual-frequency comb concepts, this technique enables a customized temporal expansion of retrieved traces, reducing detection requirements and improving efficiency. This method overcomes the conventional high-bandwidth detection limitations of centimeter-scale resolution systems while maximizing optical SNR and simplifying post-processing. In this contribution, we review the latest advancements in time-expansion technology, including SNR optimization and improvements in QIR configurations, and expose interesting applications of the technology, such as distributed and dynamic shape sensing.

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Published
2025-05-22
DOI
https://doi.org/10.1117/12.3068060
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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article

Recent advances in time-expansion distributed sensing technology

Camilo Escobar-Vera, Miguel Soriano-Amat, Miguel González‐Herráez, María R. Fernández‐Ruiz et al.
Energy Efficient Wireless Sensor Networks
article

Recent advances in time-expansion distributed sensing technology

Camilo Escobar-Vera, Miguel Soriano-Amat, Miguel González‐Herráez, María R. Fernández‐Ruiz, Sonia Martín López
article en

Abstract

Time-expansion technology has emerged as a promising approach to enhance the spatial resolution of time-resolved distributed fiber sensing systems. By leveraging dual-frequency comb concepts, this technique enables a customized temporal expansion of retrieved traces, reducing detection requirements and improving efficiency. This method overcomes the conventional high-bandwidth detection limitations of centimeter-scale resolution systems while maximizing optical SNR and simplifying post-processing. In this contribution, we review the latest advancements in time-expansion technology, including SNR optimization and improvements in QIR configurations, and expose interesting applications of the technology, such as distributed and dynamic shape sensing.

Universidad de Alcalá (ES), RISE Research Institutes of Sweden (SE)
Openalex Percentile: Top 89%
Energy Efficient Wireless Sensor Networks
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