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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References

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  1. Y. Chung, "Performance monitoring in optical networks (tutorial)," Proc. APOC (2003) pp. 5282-46.
  2. M. D. Salik, C. Nicolas, A. Carre, S. J. Caracci, "Fiber fabry-perot interferometer for optical channel monitoring," Proc. ECOC (2002) pp. 1-2.
  3. M. Li, G. J. Pendock, R. J. Evans, "Spectral recovery for low-resolution optical spectrum monitors," IEEE Photon. Technol. Lett. 20, 1109-1111 (2008).
  4. Z. L. Yu, G. N. Liu, S. Qiu, Y. Wei, S. Shen, Q. Xiong, "Regularized sparse recovery for optical power monitoring with low-cost tunable optical filters," IEEE Photon. Technol. Lett. 22, 697-699 (2010).
  5. C. Che, R. J. Evans, R. J. Tucker, "Signal processing for optical power spectrum monitoring," Proc. ACSSC (2006) pp. 559-563.
  6. M. Li, G. J. Pendock, R. J. Evans, "Regularization techniques for extracting osnr from low resolution wdm channel monitors," J. Lightw. Technol. 27, 1162-1171 (2009).
  7. S. Boyd, L. Vandenberghe, Convex Optimization (Cambridge Univ., 2004).
  8. M. Elad, B. Matalon, M. Zibulevsky, "Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization," Appl. Comput. Harmon. Anal. 23, 346-367 (2007).
  9. R. T. Rockafellar, "Monotone operators and the proximal point algorithm," SIAM J. Control Optim. 14, 877-898 (1976).
  10. M. Lobo, L. Vandenberghe, S. Boyd, H. Lebret, "Applications of second-order cone programming," Linear Algebra and Its Applications 284, 193-228 (1998).

2010 (1)

Z. L. Yu, G. N. Liu, S. Qiu, Y. Wei, S. Shen, Q. Xiong, "Regularized sparse recovery for optical power monitoring with low-cost tunable optical filters," IEEE Photon. Technol. Lett. 22, 697-699 (2010).

2009 (1)

M. Li, G. J. Pendock, R. J. Evans, "Regularization techniques for extracting osnr from low resolution wdm channel monitors," J. Lightw. Technol. 27, 1162-1171 (2009).

2008 (1)

M. Li, G. J. Pendock, R. J. Evans, "Spectral recovery for low-resolution optical spectrum monitors," IEEE Photon. Technol. Lett. 20, 1109-1111 (2008).

2007 (1)

M. Elad, B. Matalon, M. Zibulevsky, "Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization," Appl. Comput. Harmon. Anal. 23, 346-367 (2007).

1998 (1)

M. Lobo, L. Vandenberghe, S. Boyd, H. Lebret, "Applications of second-order cone programming," Linear Algebra and Its Applications 284, 193-228 (1998).

1976 (1)

R. T. Rockafellar, "Monotone operators and the proximal point algorithm," SIAM J. Control Optim. 14, 877-898 (1976).

Appl. Comput. Harmon. Anal. (1)

M. Elad, B. Matalon, M. Zibulevsky, "Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization," Appl. Comput. Harmon. Anal. 23, 346-367 (2007).

IEEE Photon. Technol. Lett. (1)

M. Li, G. J. Pendock, R. J. Evans, "Spectral recovery for low-resolution optical spectrum monitors," IEEE Photon. Technol. Lett. 20, 1109-1111 (2008).

IEEE Photon. Technol. Lett. (1)

Z. L. Yu, G. N. Liu, S. Qiu, Y. Wei, S. Shen, Q. Xiong, "Regularized sparse recovery for optical power monitoring with low-cost tunable optical filters," IEEE Photon. Technol. Lett. 22, 697-699 (2010).

J. Lightw. Technol. (1)

M. Li, G. J. Pendock, R. J. Evans, "Regularization techniques for extracting osnr from low resolution wdm channel monitors," J. Lightw. Technol. 27, 1162-1171 (2009).

Linear Algebra and Its Applications (1)

M. Lobo, L. Vandenberghe, S. Boyd, H. Lebret, "Applications of second-order cone programming," Linear Algebra and Its Applications 284, 193-228 (1998).

SIAM J. Control Optim. (1)

R. T. Rockafellar, "Monotone operators and the proximal point algorithm," SIAM J. Control Optim. 14, 877-898 (1976).

Other (4)

S. Boyd, L. Vandenberghe, Convex Optimization (Cambridge Univ., 2004).

C. Che, R. J. Evans, R. J. Tucker, "Signal processing for optical power spectrum monitoring," Proc. ACSSC (2006) pp. 559-563.

Y. Chung, "Performance monitoring in optical networks (tutorial)," Proc. APOC (2003) pp. 5282-46.

M. D. Salik, C. Nicolas, A. Carre, S. J. Caracci, "Fiber fabry-perot interferometer for optical channel monitoring," Proc. ECOC (2002) pp. 1-2.

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