Title :
Regularized Sparse Recovery for Optical Power Monitoring With Low-Cost Tunable Optical Filters
Author :
Yu, Zhu Liang ; Liu, Gordon Ning ; Qiu, Shaofeng ; Wei, Yijia ; Shen, Shuqiang ; Xiong, Qianjin
Author_Institution :
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
fDate :
5/15/2010 12:00:00 AM
Abstract :
We propose a regularized sparse recovery (RSR) technique to monitor optical power from the broadened optical spectrum acquired by scanning a tunable optical filter (TOF). The key idea of RSR is to find a smooth but sparse signal spectrum that matches the observed data of a broadened spectrum model within a tolerable error. Experiments demonstrated that RSR can be used to monitor accurately the power of mixed 10-G/40-G wavelength-division-multiplexing channels with 50-GHz channel spacing using commercial TOFs. This technique also has higher immunity to measurement and TOF response errors than the regularized least square method. It does not require strong repeatability of TOF response and makes the low-cost TOF suitable for optical power monitoring.
Keywords :
broadband networks; channel estimation; equalisers; error statistics; optical communication equipment; optical filters; optical tuning; wavelength division multiplexing; automatic power equalization; broadened optical spectrum; error statistics; frequency 50 Hz; optical power monitoring; optical spectrum analyzer; regularized sparse recovery; sparse signal spectrum; tunable optical filters; wavelength-division-multiplexing channels; Optical performance monitoring (OPM); regularized sparse recovery (RSR); tunable optical filter (TOF);
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2010.2044169