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Fast and Efficient Decoding Algorithm Developed from Concatenation Between a Symbol-by-Symbol Decoder and a Decoder Based on Syndrome Computing and Hash Techniques

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1076))

Abstract

The exchange of data is done through a communication channel that is not entirely reliable and these data are most likely to be altered by errors. In order to detect and correct any errors on the receiver side, error-correcting codes are used; their principle is to add control data on the transmitter side. The Hartmann and Rudolph (HR) algorithm is based on a probabilistic study to determine if a bit of the received sequence is equal to 0 or 1. To do this, it exploits all the codewords of the dual code, which makes its complexity very high. The efficiency and the low complexity of the hard-decision decoder based on hash and syndrome decoding (HSDec) algorithm compared with its competitors encouraged us to use it in a serial concatenation with the HR decoder. In this paper, we propose a mutual cooperation between the HR partially exploited (PHR) and HSDec decoders. The simulation results show the efficiency and the rapidity of the proposed cooperation. The best performance qualities obtained using PHR-HSDec against HR alone prove the robustness of this cooperation.

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References

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

    Google Scholar 

  2. Azouaoui, A., Chana, I., Belkasmi, M.: Efficient information set decoding based on genetic algorithms. Int. J. Commun. Netw. Syst. Sci. 5 (2012)

    Google Scholar 

  3. Gallager, R.G.: Low-density parity-check codes. IRE Trans. Inf. Theory 8, 21–28 (1962)

    Article  MathSciNet  Google Scholar 

  4. Morelos-Zaragoza, R.H.: The Art of Error Correcting Coding, 2nd edn. Wiley (2006)

    Google Scholar 

  5. Nouh, S., El Khatabi, A., Belkasmi, M.: Majority voting procedure allowing soft decision decoding of linear block codes on binary channels. Int. J. Commun. Netw. Syst. Sci. 5 (2012)

    Google Scholar 

  6. Berlekamp, E.R.: Algebraic Coding Theory, rev. edn. Aegean Park Press (1984)

    Google Scholar 

  7. Massey, J.L.: Shift-register synthesis and BCH decoding. IEEE 1969 Trans Information Theory IT-15 1, 122–127 (1969)

    Google Scholar 

  8. Chen, Y.H., Truong, T.K., Chang, Y., Lee, C.D., Chen, S.H.: Algebraic decoding of quadratic residue codes using Berlekamp-Massey algorithm. J. Information Sci. Eng. 23, 127–145 (2007)

    MathSciNet  Google Scholar 

  9. Chen, Y., Huang, C., Chang, J.: Decoding of binary quadratic residue codes with hash table. IET Common. 10, 122–130 (2016)

    Article  Google Scholar 

  10. El Kasmi Alaoui, M.S., Nouh, S., Marzak, A.: Two new fast and efficient hard decision decoders based on hash techniques for real time communication systems. In: Lecture Notes in Real-Time Intelligent Systems, RTIS 2017. Advances in Intelligent Systems and Computing, vol. 756. Springer, Cham (2019)

    Google Scholar 

  11. Jung, B., Kim, T., Lee, H.: Low-Complexity Non-Iterative Soft-Decision BCH Decoder Architecture for WBAN Applications. J. Semicond. Technol. Sci. 16 (2016)

    Google Scholar 

  12. Askali, M., Nouh, S., Belkasmi, M.: A Soft decision version of the Permutation decoding algorithm. In: NTCCCS 12 Workshop. Oujda, Morocco (2012)

    Google Scholar 

  13. Shim, Y.G.: Forward error correction codes in communication channels. Int. J. Control Autom. 10, 131–144 (2017)

    Article  Google Scholar 

  14. Berkani, A., Azouaoui, A., Belkasmi, M., Aylaj, B.: Improved decoding of linear block codes using compact genetic algorithms with larger tournament size. Int. J. Comput. Sci. (14) (2017)

    Google Scholar 

  15. El Kasmi Alaoui, M.S., Nouh, S., Marzak, A.: A low complexity soft decision decoder for linear block codes. In: The 1st International Conference On Intelligent Computing in Data Sciences(ICDS). University My Ismail, Superior School of Technology, Meknes Morocco (2017)

    Google Scholar 

  16. Fossorier, M.P.C., Lin., S.: Soft decision decoding of linear block codes based on ordered statistics. IEEE Trans. Inf. Theory 184 1379–1396 (1995)

    Google Scholar 

  17. Hartmann, C.R., Rudolph, L.D.: An optimal symbol by symbol decoding rule for linear codes. IEEE Trans. Inf. Theory 22, 514–517 (1976)

    Article  Google Scholar 

  18. Nouh, S., Aylaj, B.: Efficient serial concatenation of symbol by symbol and word by word decoders. Int. J. Innovative Comput. Inf. Control 14 (2018)

    Google Scholar 

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Correspondence to M. Seddiq El Kasmi Alaoui .

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Seddiq El Kasmi Alaoui, M., Nouh, S., Marzak, A. (2020). Fast and Efficient Decoding Algorithm Developed from Concatenation Between a Symbol-by-Symbol Decoder and a Decoder Based on Syndrome Computing and Hash Techniques. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_12

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