Signal-to-Noise Ratio Improvement for Phase-Sensitive Optical Time-Domain Reflectometry Using a Genetic Least Mean Square Method

In this paper, a genetic least mean square (GLMS) method is proposed to improve the signal-to-noise ratio (SNR) of acoustic signal reconstruction in a phase-sensitive optical time-domain reflectometry system. The raw demodulated signal is processed via applying the least mean square criterion. The S...

Full description

Saved in:
Bibliographic Details
Published in:Photonics 2023-12, Vol.10 (12), p.1362
Main Authors: Liu, Xin, Liu, Zhihua, Zhou, Xiaoxu, Wang, Yu, Bai, Qing, Jin, Baoquan
Format: Article
Language:English
Subjects:
Acoustic noise
Acoustics
distributed acoustic sensing
GLMS method
Lasers
Light
Mean square values
Objective function
phase reconstruction
Phase transitions
phase-sensitive OTDR
Population genetics
Reflectometry
Signal processing
Signal reconstruction
Signal to noise ratio
SNR improvement
Time domain analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a genetic least mean square (GLMS) method is proposed to improve the signal-to-noise ratio (SNR) of acoustic signal reconstruction in a phase-sensitive optical time-domain reflectometry system. The raw demodulated signal is processed via applying the least mean square criterion. The SNR of the processed signal was calculated and served as the objective function in the fitness evaluation procedure. The genetic operations of the population selection, crossover, and mutation are sequentially performed and repeated until the suspensive condition is reached. Through multiple iterations, the GLMS method continuously optimized the population to find the optimal solution. Experimental results demonstrate that the SNR is substantially improved by 14.37–23.60 dB in the monotonic scale audio signal test from 60 to 1000 Hz. Furthermore, the improvement of the phase reconstruction of a human voice audio signal is also validated by exploiting the proposed GLMS method.
ISSN:2304-6732
2304-6732
DOI:10.3390/photonics10121362