Nanosecond-latency all-optical fiber sensing with in-sensor computing
Yu Tao, Yangyang Wan, Ziwen Long, Wenjia Zhang, Jiangbing Du, Zuyuan He

TL;DR
This paper introduces an all-optical fiber sensing system with in-sensor computing that achieves ultra-fast, sub-nanosecond demodulation speeds, enabling real-time, high-precision measurements without electronic processing.
Contribution
It presents a novel all-optical sensing architecture integrating a scattering medium and diffractive optical network for ultrafast, fully optical signal demodulation and sensing.
Findings
Achieves <3 ns demodulation delay, over 100x faster than traditional systems.
Provides sub-nano strain resolution and 100% accuracy in torsional angle classification.
Supports multiplexed sensing and multi-degree-of-freedom monitoring.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
