@article{(Open Science Index):https://publications.waset.org/pdf/10010399,
	  title     = {Labview-Based System for Fiber Links Events Detection},
	  author    = {Bo Liu and  Qingshan Kong and  Weiqing Huang},
	  country	= {},
	  institution	= {},
	  abstract     = {With the rapid development of modern communication,
diagnosing the fiber-optic quality and faults in real-time is widely
focused. In this paper, a Labview-based system is proposed for
fiber-optic 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 Labview-based
system can be 65km.
},
	    journal   = {International Journal of Information and Communication Engineering},
	  volume    = {13},
	  number    = {5},
	  year      = {2019},
	  pages     = {295 - 301},
	  ee        = {https://publications.waset.org/pdf/10010399},
	  url   	= {https://publications.waset.org/vol/149},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 149, 2019},
	}