Open AccessVirtual-block-array phase analysis for distributed acoustic sensors with a high signal-to-noise ratio reconstruction waveform
Author(s) -
Zhe Ma,
Junfeng Jiang,
Kun Liu,
Shuang Wang,
Wenjie Chen,
Yongning Zhang,
Tianhua Xu,
Panpan Niu,
Shuanghao Wang
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.395281
Subject(s) - waveform , optics , acoustics , signal (programming language) , phase (matter) , signal to noise ratio (imaging) , computer science , noise (video) , phase noise , block (permutation group theory) , physics , telecommunications , mathematics , artificial intelligence , radar , geometry , quantum mechanics , image (mathematics) , programming language
A virtual-block-array phase analysis method is proposed for the fiber-optic distributed acoustic sensor. The sensing fiber is divided into a serial of discrete virtual blocks according to the pulse spatial length. The phase variation caused by acoustic events is obtained by combining the operation of the temporal differential process between traces and local spatial average in virtual blocks. The linear frequency-modulated probe pulse produces phase compensation effects at the event location. High signal-to-noise ratio (SNR) measurement is verified by simulation and experiment. The reconstructed waveform of 1.5 kHz sinusoidal signal showed a root mean square error of 0.0359 and an SNR of 47.28 dB.