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
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