An Efficient Implementation of Modified Regularized Sparse Recovery for Real-Time Optical Power Monitoring
Journal of Lightwave Technology, Vol. 30, Issue 17, pp. 2863-2869 (2012)
Acrobat PDF (1073 KB)
Abstract
The regularized sparse recovery (RSR) method proposed for optical power monitoring (OPM) has high performance in practice. However, due to its implementation based on interior point method (IPM), it has high computational complexity for real-time OPM system, especially when the number of monitored channels is large. In this paper, we modify the RSR method and propose an efficient implementation of the modified RSR based on the separable surrogate functions (SSF) technique. The resulting algorithm can be realized by simple hardware structure with low computational complexity. Simulation results confirm that accurate and fast optical power spectrum estimation can be achieved with a low-cost tunable optical filter (TOF) by using the proposed method.
© 2012 IEEE
Citation
Zhu Liang Yu, Wei Zhou, Zhenghui Gu, Ya Yang, and Gordon Ning Liu, "An Efficient Implementation of Modified Regularized Sparse Recovery for Real-Time Optical Power Monitoring," J. Lightwave Technol. 30, 2863-2869 (2012)
http://www.opticsinfobase.org/jlt/abstract.cfm?URI=jlt-30-17-2863
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
« Previous Article | Next Article »
OSA is a member of 