Bo Liu and Qingshan Kong and Weiqing Huang
LabviewBased System for Fiber Links Events Detection
291 - 297
2019
13
5
International Journal of Information and Communication Engineering
https://publications.waset.org/pdf/10010399
https://publications.waset.org/vol/149
World Academy of Science, Engineering and Technology
With the rapid development of modern communication,
diagnosing the fiberoptic quality and faults in realtime is widely
focused. In this paper, a Labviewbased system is proposed for
fiberoptic faults detection. The wavelet threshold denoising method
combined with Empirical Mode Decomposition (EMD) is applied to
denoise the optical time domain reflectometer (OTDR) signal. Then
the method based on Gabor representation is used to detect events.
Experimental measurements show that signal to noise ratio (SNR)
of the OTDR signal is improved by 1.34dB on average, compared
with using the wavelet threshold denosing method. The proposed
system has a high score in event detection capability and accuracy.
The maximum detectable fiber length of the proposed Labviewbased
system can be 65km.
Open Science Index 149, 2019