A novel method of the fiber-link fault detection and location with multi-channel and multi-fiber based on chaotic light theory

Author

Xinyu Dou ; Hehe Yue ; Yusong Zhou ; Hongxi Yin ; Chenguang Wu ; Yang Hao

Author_Institution

Lab. of Opt. Commun. & Photonic Technol., Dalian Univ. of Technol., Dalian, China

fYear

2014

fDate

14-16 Oct. 2014

Firstpage

960

Lastpage

964

Abstract

A novel method for fiber-fault detection with chaotic laser theory is demonstrated and is verified by simulation and experimental results. The chaotic light is generated by optoelectrical feedback, and the simulation results show that the RF spectrum of the generated chaotic light is broad and flat. The PSLR and the FWHM of the autocorrelation curve are 20 and 0.01ns, respectively. Experimental results show that this approach is able to detect simultaneously the location of multi-fault in single/multiple fiber channels. The space resolution is 0.9mm, and the location of fiber fault in an optical network with two-level division light is able to be detected. The method has a significant practical value for the detection and location of the fiber-faults in the optical access network.

Keywords

fault diagnosis; laser feedback; optical chaos; optical communication equipment; optical fibre networks; passive optical networks; FWHM; PSLR; RF spectrum; autocorrelation curve; chaotic laser theory; chaotic light theory; fiber fault location; fiber-fault location; fiber-link fault detection; multichannel; multifault detection; optical access network; optical network; optoelectrical feedback; single/multiple fiber channels; space resolution; time 0.01 ns; time 20 ns; two-level division light; Correlation; Optical feedback; Optical fiber networks; Optical fiber theory; Optical reflection; fault detection and location; multi-channel and multi-fault; optoelectrical feedback; passive optical network;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4799-5837-5

Type

conf

DOI

10.1109/BMEI.2014.7002911

Filename

7002911