现代电子技术2024，Vol.47Issue(1)：36-43,8.DOI:10.16652/j.issn.1004-373x.2024.01.007
基于BP神经网络的长距离分布式光纤传感高空间分辨率定位算法
High spatial resolution positioning algorithm based on BP neural network for long-distance distributed optical fiber sensing
金琢然1
作者信息
- 1. 燕山大学 信息科学与工程学院(软件学院), 河北 秦皇岛 066099
- 折叠
摘要
Abstract
The real phase difference between the transmitted sequence and the local sequence is not an integer multiple of 1 bit code length,which affects the accuracy of the measurement results in the phase-shifting and integral ranging system based on digital coding,so a high spatial resolution positioning algorithm based on BP neural network(backpropagation neural network)for long-distance distributed optical fiber sensing is proposed.In this algorithm,the subdivision degree within 1 bit is judged according to BP neural network and combined with the traditional algorithm,so as to realize dynamic ranging.The experimental results show that the average relative error of the long-distance positioning accuracy of the high spatial resolution positioning algorithm based on BP neural network for the long-distance distributed optical fiber sensing is reduced from 0.23 to 0.035,which makes up the problem that the spatial resolution and accuracy are limited to the digital code itself,and provides the possibility for long-distance high-precision real-time monitoring of large-scale infrastructure.关键词
分布式光纤传感/移相-积分测距/光时域反射/BP神经网络/空间分辨率/定位测距算法Key words
distributed optical fiber sensing/phase-shifting and integral ranging/optical time domain reflection/BP neural network/spatial resolution/positioning and ranging algorithm分类
信息技术与安全科学引用本文复制引用
金琢然..基于BP神经网络的长距离分布式光纤传感高空间分辨率定位算法[J].现代电子技术,2024,47(1):36-43,8.
