Research on demodulation of FBGs sensor network based on PSO-SA algorithm

被引：24
|
作者：
Qi, Yuefeng [1 ,2 ]
Li, Cailing [2 ]
Jiang, Peng [1 ,2 ]
Jia, Cui [2 ]
Liu, Yanyan [1 ,2 ]
Zhang, Qi [3 ]
机构：
[1] Key Lab Special Fiber & Fiber Sensor Hebei Prov, Qinhuangdao 066004, Peoples R China
[2] Yanshan Univ, Inst Informat Sci & Engn, Qinhuangdao 066004, Hebei, Peoples R China
[3] Univ Nebraska Lincoln, Dept Elect Engn, Lincoln, NE 68521 USA
来源：
OPTIK | 2018年 / 164卷
基金：
中国国家自然科学基金;
关键词：
Fiber Bragg grating; Multiplexing network; PSO-SA algorithm; Demodulation; WAVELENGTH DETECTION; PERFORMANCE;
D O I：
10.1016/j.ijleo.2018.03.088
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, we report a novel demodulation algorithm of particle swarm optimization based simulated annealing (PSO-SA) for multiplexing fiber Bragg grating (FBG) sensor networks. We theoretically prove that multiple FBGs can be demodulated in a 2, 3 and 4-grating-network respectively even though the grating spectra are fully or partially overlapped and the demodulation resolution can reach 10 pm. Wavelength demodulation of a 4-grating-network with grating spectra overlapped is realized experimentally. To the best of our knowledge, this is the first time that four fully overlapped gratings are recognized. This method may find implications in massive multiplexing FBG sensor network. (C) 2018 Elsevier GmbH. All rights reserved.
引用
收藏
页码：647 / 653
页数：7
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