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Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator

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Time-expanded phase-sensitive optical time-domain reflectometry.

Miguel Soriano-Amat¹, Hugo F Martins², Vicente Durán³

¹Departamento de Electrónica, Universidad de Alcalá, Escuela Politécnica Superior, 28805, Madrid, Spain. miguel.soriano@uah.es.

Light, Science & Applications

|March 9, 2021

Summary

This summary is machine-generated.

This study introduces a new phase-sensitive optical time-domain reflectometry (ΦOTDR) method using dual-comb spectrometry. It achieves centimeter-scale resolution over 1km with low MHz bandwidth, reducing cost and complexity for environmental sensing.

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Area of Science:

Photonics and Optical Sensing
Metrology
Fiber Optic Sensing

Background:

Phase-sensitive optical time-domain reflectometry (ΦOTDR) offers real-time spatio-temporal environmental measurements.
Existing ΦOTDR methods require high GHz bandwidths for centimeter-scale resolution, increasing system cost and complexity.

Purpose of the Study:

To present a novel ΦOTDR approach enabling customized time expansion of optical traces.
To achieve high spatial resolution with significantly reduced detection bandwidth requirements.

Main Methods:

Utilized dual-comb spectrometry to interrogate optical fibers and sample backscattered light.
Employed random phase-spectral coding on dual combs to enhance signal-to-noise ratio.
Implemented a customized time-expansion technique for optical traces.

Main Results:

Achieved centimeter-scale spatial resolution over a 1km fiber optic sensing range.
Required only MHz-regime detection bandwidth, a substantial reduction from GHz requirements.
Demonstrated a novel ΦOTDR scheme with a new set of trade-offs compared to existing methods.

Conclusions:

The presented dual-comb ΦOTDR approach offers a cost-effective and simplified solution for high-resolution sensing.
This technique has the potential to enable new applications in metrology, borehole monitoring, and aerospace.
The method provides a viable alternative for applications demanding high spatial resolution without high-bandwidth constraints.