DocumentCode
1240864
Title
Spectral Recovery for Low-Resolution Optical Spectrum Monitors
Author
Li, Mei ; Pendock, Graeme J. ; Evans, Robin J.
Author_Institution
Dept. of Electr. & Electron. Eng., Melbourne Univ., Melbourne, VIC
Volume
20
Issue
13
fYear
2008
fDate
7/1/2008 12:00:00 AM
Firstpage
1109
Lastpage
1111
Abstract
Optical spectral monitors that monitor a range of parameters are valuable for the management of optical networks. However, they require fine spectral resolution, otherwise, the measured spectra are blurred, preventing such parameters being determined. In this letter, we demonstrate how the regularized structured total least squares signal processing method can be used to successfully reverse this blurring. Its application relaxes the required resolution for optical spectral monitors with subsequent benefits of increased robustness and reduced cost.
Keywords
least squares approximations; optical fibre networks; signal processing; spectral analysis; telecommunication network management; fine spectral resolution; least squares signal processing method; optical network management; optical spectrum monitors; spectral recovery; Least squares methods; Optical fiber networks; Optical filters; Optical noise; Optical signal processing; Robustness; Signal resolution; Signal to noise ratio; Wavelength division multiplexing; Wavelength measurement; Inverse problems; least mean square methods; monitoring; optical spectroscopy; optical variables measurement; signal processing; spectral analysis; wavelength-division multiplexing (WDM);
fLanguage
English
Journal_Title
Photonics Technology Letters, IEEE
Publisher
ieee
ISSN
1041-1135
Type
jour
DOI
10.1109/LPT.2008.924292
Filename
4538121
Link To Document