Browse > Article
http://dx.doi.org/10.5762/KAIS.2016.17.4.122

Noisy OTDR Data Event Detection Analysis for the Real Time Optical Fiber Link Monitoring  

Ko, Dae-Young (Electronics and Computer Engineering, Chonnam National University)
Baek, Sung-June (Electronics and Computer Engineering, Chonnam National University)
Park, Aaron (Electronics and Computer Engineering, Chonnam National University)
Kim, Jin-Bong (Optoelectronic System Department, PPI Inc.)
Nah, Yong-Su (Optoelectronic System Department, PPI Inc.)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.4, 2016 , pp. 122-128 More about this Journal
Abstract
This paper, proposes a new analysis method for the event detection of an OTDR signal. An OTDR signal was passed through the Hamming filter to remove the high frequency noise included in the signal. The signal was then passed consecutively through a differential filter to detect the events of interest. The terminal position was determined using the fact that there is a large gap between the signal and the trailing noise power beyond the terminal. This study examined the local maxima of the signal up to the terminal position and determined the peak regions. The real events were determined from the peak regions using noise information and peak threshold. Finally, the user events were found by inspecting the user peaks beyond the terminal position. The events of the OTDR signal without users are located at less than 17m compared to the optical fiber link setup. The events of the JDSU device are located less than 25m and their users are less than 5m. For the RadianTech device, the events are detected at less than 19m and the users are found in 5m. The results suggest that the proposed method is sufficiently applicable to an optical fiber link monitoring system.
Keywords
OTDR; Optical Fiber Link; Real Time Monitoring; Event Detection; Wavelet;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M. Esmail, H. Fathallah, "Physical Layer Monitoring Techniques for TDM-Passive Optical Networks: A Survey", IEEE Commun., pp. 943-958, 2013. DOI: http://dx.doi.org/10.1109/SURV.2012.060912.00057   DOI
2 Xiaodong Gu, Mike Sablatash, "Estimation and detection in OTDR using analyzing wavelets", IEEE Proc., pp. 353-356, 1994. DOI: http://dx.doi.org/10.1109/TFSA.1994.467337   DOI
3 P. Blanchard, J. Dubard, L. Ducos, and R. Thauvin, "Simulation method of reflectance measurement error using the OTDR", IEEE Photonics., pp. 705-706, 1998. DOI: http://dx.doi.org/10.1109/68.669336   DOI
4 Xiangfei Chen, Yu Mong, Zhenbai Ma, Xiaoning Yin, and Darong Yang, "An improved OTDR technique on nonreflective event locating accuracy with minor reflection considered", IEEE Photonics., pp. 570-572, 1998. DOI: http://dx.doi.org/10.1109/68.669336   DOI
5 Hu Chaoju, Li Jun, "The Application of Wavelet Transform in Analysis of OTDR Curve", IEEE IHMSC., pp. 216-219, 2010. DOI: http://dx.doi.org/10.1109/IHMSC.2010.154   DOI
6 Hu Wen-gang, Wan Sheng-peng, Li Bao-ji, Zhong Lin and Yu Wei, "Study on the Detection Signal of OTDR Based on Wavelet Denoising and Approximate Entropy", IEEE Photonics and Optoelectronics, pp. 1-4, 2012. DOI: http://dx.doi.org/10.1109/sopo.2012.6270509   DOI
7 Xiaohui Zhang, Haoshu Zhao, Guanmin Sun, and Tingting Cui, "Localization of non-reflective events in OTDR data combining DWT with template matching", IEEE Image and Signal Processing, pp. 2275-2279, 2011. DOI: http://dx.doi.org/10.1109/cisp.2011.6100609   DOI