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
fDate :
7/1/2008 12:00:00 AM
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);
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2008.924292