噪音(视频)
混叠
干涉测量
符号
数学
多路复用
算法
光学
物理
计算机科学
电子工程
工程类
人工智能
算术
滤波器(信号处理)
计算机视觉
图像(数学)
作者
Fei Liu,Shangran Xie,Min Zhang,Xiangge He,Duo Yi,Lijuan Gu,Yi Zhang,Xian Zhou,Keping Long
标识
DOI:10.1109/jlt.2021.3137319
摘要
Aliased noises elevate the ultimate noise level of a pulse-triggered time-division-multiplexing (TDM) interferometric fiber-optic sensor array. Here we for the first time present an analytical model of the aliasing factor based on noise power spectral density analysis of the interferometric fiber sensor array. In contrast to the previous reports, the aliasing factor is found not only dependent on the pulse width and the repetition frequency, but also on the rising time of the pulse when matched filters are applied to suppress the noise components out of the main lobe. The model also indicates the explicit scaling rule between the aliasing factor and the number of TDM channels. The model are experimentally validated by measuring the noise floors under different combinations of pulse parameters. Based on the model, an ultra-low noise floor of -114 dB ref rad/$\sqrt{\mathbf {Hz}}$(i.e. 2$\boldsymbol{\mu}$rad/$\sqrt{\mathbf {Hz}}$) is achieved and up to 6 interferometric sensors can be multiplexed, which, to the best of knowledge, represents the lowest noise level to date for the TDM interferometric fiber-optic sensor array. Our results reveal the prominent influence of the pulse rising time on the aliased noises and provides a practical approach to suppress noise floor of TDM sensor array.
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