Resolution enhancement in long pulse OTDR for application in structural health monitoring

To improve the range resolution in inexpensive conventional long pulse optical time domain reflectometer (OTDR) for application in structural health monitoring (SHM) and robotic neural network, the Fourier Wavelet Regularized Deconvolution (ForWaRD) based on the adaptive wavelet method is employed....

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Bibliographic Details
Published inOptical fiber technology Vol. 16; no. 4; pp. 240 - 249
Main Authors Bahrampour, Ali Reza, Maasoumi, Fatemeh
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.08.2010
Subjects
ForWaRD method
Optical time domain reflectometer (OTDR)
Structural health monitoring
Wavelet
Wavelet
ForWaRD method
Optical time domain reflectometer (OTDR)
Structural health monitoring
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Summary:To improve the range resolution in inexpensive conventional long pulse optical time domain reflectometer (OTDR) for application in structural health monitoring (SHM) and robotic neural network, the Fourier Wavelet Regularized Deconvolution (ForWaRD) based on the adaptive wavelet method is employed. Since Deconvolution is a noise sensitive process, employing the (ForWaRD) method enhances the signal to noise ratio. Simulation for long pulse OTDR system is done and ForWaRD method is employed to improve the resolution of the OTDR system to the order of several centimeters. In this method the resolution is limited by the bandwidth of detector, bandwidth of electronic circuit, and the sampling rate of analog to digital convertor.
ISSN:1068-5200
1095-9912
DOI:10.1016/j.yofte.2010.05.003