DocumentCode
956729
Title
Detection and location of connection splice events in fiber optics given noisy OTDR data. Part II. R1MSDE method
Author
Liu, Fenglei ; Zarowski, Christopher J.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, Alta., Canada
Volume
53
Issue
2
fYear
2004
fDate
4/1/2004 12:00:00 AM
Firstpage
546
Lastpage
556
Abstract
In Part I (Liu and Zarowski 2001), a method of connection splice event detection and location by the digital signal processing of noisy optical time-domain reflectometry data was given. It applied the Gabor series representation (GSR) for transient signal detection of Friedlander and Porat (1989) to the optical time-domain reflectometer (OTDR) data yielding Gabor coefficients. The Rissanen minimum description length (MDL) criterion was then applied to the Gabor coefficients to eliminate those that are most likely due to noise alone. The surviving coefficients are indexed in such a manner as to indicate the location of events in the OTDR data. Although this GSR/MDL method is computationally efficient, it only gives a coarse estimate of event location. Therefore, this paper (Part II) develops the rank-1 matched subspace detection and estimation algorithm that employs more computation to achieve a greater accuracy in event position estimation. It is based on the matched subspace detection theory of Scharf and Friedlander.
Keywords
optical fibre couplers; optical signal detection; optical time-domain reflectometry; splicing; GSR method; Gabor coefficients; Gabor series representation; MDL criterion; MDL method; R1MSDE method; Rissanen minimum description length; connection splice event detection; connection splice event location; connection splice events; digital signal processing; event position estimation; fiber optics; noisy OTDR data; noisy optical time-domain reflectometry data; optical time-domain reflectometer; rank-1 matched subspace detection algorithm; rank-1 matched subspace estimation algorithm; subspace detection theory; transient signal detection; Background noise; Digital signal processing; Event detection; Optical fibers; Optical noise; Optical scattering; Optical signal processing; Rayleigh scattering; Signal processing algorithms; Time domain analysis;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2003.820442
Filename
1284889
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