Simulation and Comparative Analysis of SS-LMS & RLS Algorithms for Electronic Dispersion Compensation

DOI: 10.4236/oalib.1100676   PDF        1,832 Downloads   2,218 Views   Citations

Abstract

In this paper electronic feed forward equalization is performed to mitigate the link chromatic dispersion. The equalizer coefficients are computed by a decision-directed process based on the sign-sign least mean square and the recursive least square algorithm. Therefore, this paper evaluates the performance of these algorithms in chromatic dispersion compensation at bit rate of 10 Gb/s. This paper compares these two adaptation algorithms for receiver based on analogue electronic dispersion equalizers by simulation and experiment. This paper concluded that recursive least-square algorithm is computationally more complex than sign-sign least mean square algorithm since matrix inversion is required, but achieves faster convergence.

Share and Cite:

Kaur, G. and Kaur, G. (2014) Simulation and Comparative Analysis of SS-LMS & RLS Algorithms for Electronic Dispersion Compensation. Open Access Library Journal, 1, 1-9. doi: 10.4236/oalib.1100676.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Savory, S.J. (2008) Digital Filters for Coherent Optical Receivers. Optics Express, 16, 804-817.
http://dx.doi.org/10.1364/OE.16.000804
[2] Savory, S.J. (2010) Digital Coherent Optical Receivers: Algorithms and Subsystems. IEEE Journal of Selected Topics Quantum Electronics, 16, 1164-1179.
http://dx.doi.org/10.1109/JSTQE.2010.2044751
[3] Lavery, D., et al. (2013) Digital Coherent Receivers for Long-Reach Optical Access Networks. Journal of Lightwave Technology, 31, 609-620.
http://dx.doi.org/10.1109/JLT.2012.2224847
[4] Goldfarb, G. and Li, G. (2007) Chromatic Dispersion Compensation Using Digital IIR Filtering with Coherent Detection. IEEE Photonics Technology Letters, 19, 969-971.
http://dx.doi.org/10.1109/LPT.2007.898819
[5] Agrawal, G.P. (2010) Fiber-Optic Communication Systems. Wiley, New York.
http://dx.doi.org/10.1002/9780470918524
[6] Davis, C.C. and Murphy, T.E. (2011) Fiber-Optic Communications. IEEE Signal Processing Magazine, 28, 150-152.
http://dx.doi.org/10.1109/MSP.2011.941096
[7] Azadet, K., et al. (2002) Equalization and FEC Techniques for Optical Transceivers. IEEE Journal of Solid-State Circuits, 37, 317-327.
http://dx.doi.org/10.1109/4.987083
[8] Winzer, P.J., et al. (2005) 10-Gb/s Upgrade of Bidirectional CWDM Systems Using Electronic Equalization and FEC. Journal of Lightwave Technology, 1, 203-210.
http://dx.doi.org/10.1109/JLT.2004.840369
[9] Stěpánek, L. (2012) Chromatic Dispersion in Optical Communications. International Journal of Modern Communication Technologies & Research, 7.
[10] Agrawal, G.P. (2002) Fiber-Optics Communication Systems. 3rd Edition, John Wiley and Sons, Inc., 16.
http://dx.doi.org/10.1002/0471221147
[11] Casimer, M.D., et al. (2001) Fiber Optics Essential. Journal of Fiber Optic Technology, Elsevier.
[12] Feuer, M.D., et al. (2003) Electronic Dispersion Compensation for a 10-Gb/s Link Using a Directly Modulated Laser. IEEE Photonics Technology Letters, 15, 1788-1790.
http://dx.doi.org/10.1109/LPT.2003.819741
[13] Rappaport, T.S. (1996) Wireless Communications-Principles and Practice. 2nd Edition, Prentice Hall.
[14] Qureshi, S.U.H. (1985) Adaptive Equalization. Proceeding of IEEE, 37, 1340-1387.
[15] Shoval, A., et al. (1995) Comparison of DC Offset Effects in Four LMS Adaptive Algorithms. IEEE Transactions on Circuits and Systems-II, 42, 176-185.
[16] Alexander, S.T. (1986) Adaptive Signal Processing. Springer-Verlag.
http://dx.doi.org/10.1007/978-1-4612-4978-8
[17] Haykin, S. (1986) Adaptive Filter Theory. Prentice Hall, Englewood Cliffs.
[18] Proakis, J. (1991) Adaptive Equalization for TDMA Digital Mobile Radio. IEEE Transactions on Vehicular Technology, 40, 333-341.
http://dx.doi.org/10.1109/25.289414
[19] Bierman, G.J. (1988) Factorization Method for Discrete Sequential Estimation. Academic Press, New York.
[20] Ling, F. and Proakis, J.G. (1984) Non Stationary Learning Characteristics of Least Squares Adaptive Estimation Algorithms. Proceedings of ICASSP84, San Diego, 3.7.1-3.7.4.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.