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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Hong-Min Wang,Xu-Sheng Wang,Chang-Hong Jia,Kong-Qi Li,Xiao-Fei Hu,Hai-Qing Guo.Improvement and Implementation of Embedded Fiber Bragg Grating Sensor Signal De-module[J].Journal of Harbin Institute Of Technology(New Series),2013,20(2):118-123.DOI:10.11916/j.issn.1005-9113.2013.02.022.
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Improvement and Implementation of Embedded Fiber Bragg Grating Sensor Signal De-module
Author NameAffiliation
Hong-Min Wang College of Automation, Harbin University of Science and Technology, Harbin 150080, China 
Xu-Sheng Wang College of Automation, Harbin University of Science and Technology, Harbin 150080, China 
Chang-Hong Jia College of Automation, Harbin University of Science and Technology, Harbin 150080, China 
Kong-Qi Li College of Automation, Harbin University of Science and Technology, Harbin 150080, China 
Xiao-Fei Hu College of Automation, Harbin University of Science and Technology, Harbin 150080, China 
Hai-Qing Guo College of Automation, Harbin University of Science and Technology, Harbin 150080, China 
Abstract:
This paper focused on high-precision demodulation of wavelength shift of FBG sensor. Fiber tunable F-P filer was used as a demodulation method. 32-bit embedded processor ARM9-S3C2440 chip was used as the main controller and simulated annealing algorithm was realized on ARM to demodulate wavelength signal. Simulation results show that the simulated annealing algorithm is reliable to process analog signals on ARM chip and significant performance is achieved such as saving bandwidth, increasing the amounts of reusable fiber grating sensors in sensor system and speeding up data processing.
Key words:  embedded  fiber bragg grating  simulated annealing algorithm
DOI:10.11916/j.issn.1005-9113.2013.02.022
Clc Number:TP211+.6
Fund:

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