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Design, optimization and Real Time implementation of a new Embedded Chien Search Block for Reed-Solomon (RS) and Bose-Chaudhuri-Hocquenghem (BCH) codes on FPGA Board

Authors

  • Azeddine WAHBI Faculty of Sciences Aïn Chock Hassan II University, Casablanca
  • Anas El Habti El Idrissi El Idrissi Faculty of Sciences, University Ibn Tofail Kenitra
  • Ahmed Roukhe University of Moulay Ismail
  • Bahloul Bensassi Faculty of Sciences Aïn Chock Hassan II University, Casablanca
  • Laamari Hlou Faculty of Sciences, University Ibn Tofail Kenitra

DOI:

https://doi.org/10.17762/ijcnis.v13i1.4889

Abstract

The development of error correcting codes has been a major concern for communications systems. Therefore, RS and BCH (Reed-Solomon and Bose, Ray-Chaudhuri and Hocquenghem) are effective methods to improve the quality of digital transmission. In this paper a new algorithm of Chien Search block for embedded systems is proposed. This algorithm is based on a factorization of error locator polynomial. i.e, we can minimize an important number of logic gates and hardware resources using the FPGA card. Consequently, it reduces the power consumption with a percentage which can reach 40 % compared to the basic RS and BCH decoder. The proposed system is designed, simulated using the hardware description language (HDL) and Quartus development software. Also, the performance of the designed embedded Chien search block for decoder RS\BCH (255, 239) has been successfully verified by implementation on FPGA board.

Author Biography

Azeddine WAHBI, Faculty of Sciences Aïn Chock Hassan II University, Casablanca

Faculty of sciences Ain Chock Hassan II University, Casablanca, Morocco.

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Published

2021-04-10

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How to Cite

WAHBI, A., El Idrissi, A. E. H. E. I., Roukhe, A., Bensassi, B., & Hlou, L. (2021). Design, optimization and Real Time implementation of a new Embedded Chien Search Block for Reed-Solomon (RS) and Bose-Chaudhuri-Hocquenghem (BCH) codes on FPGA Board. International Journal of Communication Networks and Information Security (IJCNIS), 13(1). https://doi.org/10.17762/ijcnis.v13i1.4889

Issue

Vol. 13 No. 1 (2021)

Section

Research Articles