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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 380))

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Abstract

In this paper, we present a hard-decision decoding algorithm using Simulated Annealing (SA) technique. The main idea is to find the optimal solution of the transmitted codeword by a process hopping between two different tasks. The simulations, applied on some binary linear block codes over the AWGN channel, show that the Simulated Annealing decoder has the same performance as the Berlekamp-Massey Algorithm (BM). Furthermore SA Decoder is more efficient compared to other Decoder based on Genetic algorithms in terms of performance and run time.

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References

  1. Clarck, G.C., Cain, J.B.: Error-Correction Coding for Digital Communications. Plenum, New York (1981)

    Book  Google Scholar 

  2. Roman, S.: Introduction to Coding and Information Theory. Springer, New York (1996)

    MATH  Google Scholar 

  3. Han, Y.S., Hartmann, C.R.P., Chen, C.C.: Efficient maximum-likelihood soft-decision decoding of linear block codes using algorithm A*. In: Technical Report SUCIS-91-42, Syracuse University, Syracuse, NY, 13244 (December, 1991)

    Google Scholar 

  4. Cardoso, A.C.M., Arantes, D.S.: Genetic Decoding of Linear Block Codes. Congress on Evolutionary Computation, Washington, DC (1999)

    Book  Google Scholar 

  5. Sujan, R. et al.: Adaptive soft sliding block decoding of convolutional code using the artificial neural net-work. Transactions on Emerging Telecommunications Technologies (2012)

    Google Scholar 

  6. El Gamal, A., Hemachandra, A., Shperling, I., Wei, V.K.: Using simulated annealing to design good codes. IEEE Trans. Inf. Theory 33, 116–123 (1987)

    Article  Google Scholar 

  7. Gidas, B.: Non-stationary Markov chains and convergence of the annealing algorithm. J. Stat. Phys. 39, 73–131 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  8. Zhang, M., Ma, F.: Simulated annealing approach to the minimum distance of error-correcting codes. Int. J. Electron. 76(3), 377–384 (1994)

    Article  Google Scholar 

  9. Aylaj, B., Belkasmi, M.: New simulated annealing algorithm for computing the minimum distance of linear block codes. Adv. Comput. Res. 6(1), 153–158. ISSN: 0975-3273. E-ISSN: 0975-9085 (2014)

    Google Scholar 

  10. Yu, H., et al.: Systematic construction, verification and implementation methodology for LDPC codes. EURASIP J. Wireless Commun. Networking 2012, 84 (2012)

    Article  Google Scholar 

  11. Berlekamp, E.R.: Algebraic Coding Theory. Aegean Park Press (1984)

    Google Scholar 

  12. Fossorier, M.P.C., Lin, S.: Soft decision decoding of linear block codes based on ordered statistics. IEEE Trans. Inf. Theory 41, 1379–1396 (1995)

    Google Scholar 

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Correspondence to Bouchaib Aylaj .

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Aylaj, B., Belkasmi, M. (2016). Simulated Annealing Decoding of Linear Block Codes. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 380. Springer, Cham. https://doi.org/10.1007/978-3-319-30301-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-30301-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30299-7

  • Online ISBN: 978-3-319-30301-7

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