Abstract:
We consider the use of two classes of forward error correction (FEC) codes (concatenated codes with interleaver and LDPC codes) in optical communication systems. Soft iterative decoding is applied to both class of codes. In the simulations, the optimum log-likelihood ratio to be provided to the soft decoder in the optical channel environment is evaluated. Simulation results refer to practical turbo-product and LDPC codes, and encompass the effect of quantization on the log-likelihood ratio. The results show that LDPC codes give better results than turbo product codes. Moreover, they turn out to be more robust to quantization.
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REFERENCES
C. Berrou and A. Glavieux, “Near optimum error correcting coding and decoding: Turbo-codes,” IEEE Trans. Commun., vol. 44, pp. 1261–1271, Oct. 1996.
S. Benedetto et al., “A soft-input soft-output APP module for iterative decoding of concatenated codes”, IEEE Comm. Lett., vol. 1, n. 1, pp. 22–24, Jan. 1997.
R. Gallager, “Low-density parity-check codes,” IEEE Trans. Inform. Theory, vol. 8, no. 1, pp. 21–28, Jan. 1962.
B. Vasic, I.B. Djordjevic, and R.K. Kostuk, “Low-density parity check codes and iterative decoding for long-haul optical communication systems,” J. Lightwave Technol., vol. 21, no. 2, pp. 438–446, Feb. 2003.
T. J. Richardson and R. L. Urbanke, “The capacity of low-density parity-check codes under message-passing decoding,” IEEE Trans. Inform. Theory, vol. 47, no. 2, pp. 559–618, Feb. 2001.
G. Bosco, G. Montorsi, and S. Benedetto, “Soft decoding in optical systems”, IEEE Trans. Commun., vol. 51, no. 8, pp. 1258–1265, Aug. 2003.
O. Ait Sab and V. Lemaire, “Block turbo code performance for long-haul DWDM optical transmission systems”, in Proc. OFC 2000, pp. ThS5–1–TuS5–4, Mar. 2000.
F. Zarkeshvari and A. H. Banihashemi, “On implementation of min-sum algorithm for decoding low-density parity-check (LDPC) codes,” in Proc. GLOBECOM’ 02, vol. 2, pp. 1349–1353, 17–21 Nov. 2002.
L. Kazovsky, S. Benedetto, and A. Willner, Optical fiber communication systems, London: Artech House, 1996.
S. Benedetto and E. Biglieri, Principles of digital transmission: with wireless applications, New York: Kluwer Academic Publishers, 1999.
S. Benedetto, D. Divsalar, G. Montorsi, and F. Pollara, “Soft-input soft-output modules for the construction and distributed iterative decoding of code networks”, European Transactions on Telecommunications, invited paper, March-April 1998.
R. Pyndiah, “Near-optimum decoding of product codes: block turbo codes,” IEEE Trans. Inform. Theory, vol. 46, no. 8, pp. 1003–1010, Aug. 1998.
D. Chase, “A class of algorithms for decoding block codes with channel measurement information,” IEEE Trans. Inform. Theory, vol. 18, no. 1, pp. 170–181, Jan. 1972.
T. J. Richardson and R. L. Urbanke, “Efficient encoding of low-density parity-check codes,” IEEE Trans. Inform. Theory, vol. 47, no. 2, pp. 638–56. Feb. 2001.
Li Ping, W.K. Leung, and Nam Phamdo, “Low density parity check codes with semi-random parity check matrix,” Electronics Letters, vol. 35, no. 1, pp. 38–39, Jan. 1999.
Xiao-Yu Hu, E. Eleftheriou, and D.M. Arnold, “Progressive edge-growth Tanner graphs,” in Proc. GLOBECOM’ 01, vol. 2, pp. 995–1001, 25-29 Nov. 2001.
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© 2005 Springer Science + Business Media, Inc. Boston
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Bosco, G. (2005). Soft Decoding in Optical Systems: Turbo Product Codes vs. LDPC Codes. In: Forestieri, E. (eds) Optical Communication Theory and Techniques. Springer, Boston, MA. https://doi.org/10.1007/0-387-23136-6_9
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DOI: https://doi.org/10.1007/0-387-23136-6_9
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