(Peer-Reviewed) Phase matching sampling algorithm for sampling rate reduction in time division multiplexing optical fiber sensor system
Junhui Wu ¹, Zhilin Xu ¹, Yi Shi ¹, Yurong Liang ¹, Qizhen Sun ²
¹ National Gravitation Laboratory, MOE Key Laboratory of Fundamental Physical Quantities Measurement, and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
中国 武汉 华中科技大学物理学院 基本物理量测量教育部重点实验室 国家引力实验室
² National Engineering Research Center for Next Generation Internet Access System (NGIA), School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
中国 武汉 华中科技大学光学与电子信息学院 下一代互联网接入系统国家工程研究中心(NGIA)
Opto-Electronic Technology, 2025-09-18
Abstract
Time division multiplexing (TDM) architecture is an important approach to creating sensor arrays for massive scale monitoring. But it is paradoxical for the TDM interferometric sensor array to keep a short delay fiber for high sensing resolution and meanwhile use low sampling rate for practical applications.
In this paper, a phase matching sampling (PMS) paradigm is proposed to address the above contradiction. By matching the phase of the sampling clock with the delay fiber length, combining with multiple-pulses sampling strategy, the proposed PMS method can avoid collecting the redundant information, facilitating the decreasing of sampling rate as well as delay fiber length of the TDM sensing system.
The proof-of-concept experiments on an 8-channel TDM interferometric system demonstrate that when the sampling rate is fixed at 20 MS/s, by applying the PMS algorithm, the delay fiber length can be shortened from 100 m to 1 m, compared with applying the conventional sampling method. It reduced the phase noise of the system by a factor of 10 at 1 mHz and by a factor of 50 at 1 Hz. The PMS algorithm for greatly reducing the sampling rate is expected to fuel the TDM interferometric sensor arrays for many applications.
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