Nanosecond-latency all-optical fiber sensing with in-sensor computing

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Authors: Yu Tao, Yangyang Wan, Ziwen Long, Wenjia Zhang, Jiangbing Du, Zuyuan He
Cited by: 1
References: 49

Abstract

Optical fiber sensing plays a crucial role in modern measurement systems and holds significant promise for a wide range of applications. This potential, though, has been fundamentally constrained by the intrinsic latency and power limitations associated with electronic signal processing. Here, we propose an all-optical fiber sensing architecture with in-sensor computing (AOFS-IC) that achieves fully optical-domain sensing signal demodulation at the speed of light. By integrating a scattering medium with an optimized diffractive optical network, AOFS-IC enables linear mapping of physical perturbations to detected intensity, and sensing results can be directly read out without electronic processing. The proposed system maintains high accuracy across various sensing tasks, providing sub-nano strain resolution and 100% torsional angle classification accuracy, as well as multiplexed sensing of multiple physical quantities, and performing multi-degree-of-freedom robot arm monitoring. AOFS-IC eliminates computing hardware requirements while providing

Fields of Study & Subjects

Advanced Fiber Optic Sensors Neural Networks and Reservoir Computing Mechanical and Optical Resonators

Publication details

Journal / source
Light Science & Applications
Publisher
Springer Science and Business Media LLC
Volume
15
Issue
1
Publication date
25 May 2026
Language
EN