Compensation of Repetition Frequency Jittter in Fiber Frequency Comb Leveraging Long Short-Term Memory Neural Network

Shangsu Ding; En Zhu; Chenglong Wu; Jianming Shang; Song Yu

doi:10.1364/AIS.2021.JW4E.6

OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)
OSA Technical Digest (Optica Publishing Group, 2021),
paper JW4E.6
•https://doi.org/10.1364/AIS.2021.JW4E.6

Compensation of Repetition Frequency Jittter in Fiber Frequency Comb Leveraging Long Short-Term Memory Neural Network

Shangsu Ding, En Zhu, Chenglong Wu, Jianming Shang, and Song Yu

Optical Sensors 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-90-3

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Joint Frequency Comb Sensing IV (Joint ES, FTS, Sensors) (JW4E)

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S. Ding, E. Zhu, C. Wu, J. Shang, and S. Yu, "Compensation of Repetition Frequency Jittter in Fiber Frequency Comb Leveraging Long Short-Term Memory Neural Network," in OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES), S. Buckley, F. Vanier, S. Shi, K. Walker, I. Coddington, S. Paine, K. Lok Chan, W. Moses, S. Qian, P. Pellegrino, F. Vollmer, G. , J. Jágerská, R. Menzies, L. Emmenegger, and J. Westberg, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper JW4E.6.

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Abstract

We demonstrated a digital repetition frequency locking system based on long short term memory(LSTM) model for fiber frequency comb. The standard deviation (SD) of locking state is 17mHz under 32MHz repetition frequency.

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