• DocumentCode
    2049205
  • Title

    A Low Complexity VLSI Architecture for Reed-Solomon Decoder

  • Author

    Khalesi, Hasan ; Nabavi, A. ; Bornoosh, B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    1551
  • Lastpage
    1554
  • Abstract
    Reed-Solomon (RS) codes have been widely used in a variety of communication systems to protect digital data against errors or to reduce the signal to noise ratio requirement in transmission process. This paper presents an area-efficient 8-error correcting RS (255,239) decoder architecture using RiBM algorithm, implemented on a 0.25-¿m CMOS technology with a supply voltage of 2.75 V. The total number of gates is about 12,600, which illustrates about an order of magnitude reduction compared to existing RS decoders. This improvement in hardware complexity is due to using a low complexity multiplier over GF (28) and constant multipliers. The decoder has a data processing rate of 1.6 Gbits/s at a clock frequency of 200 MHz.
  • Keywords
    CMOS integrated circuits; Reed-Solomon codes; VLSI; circuit complexity; decoding; error correction codes; integrated circuit design; multiplying circuits; CMOS technology; RS codes; Reed-Solomon decoder; RiBM algorithm; area-efficient 8-error correcting RS decoder architecture; bit rate 1.6 Gbit/s; communication systems; data processing rate; digital data error protection; frequency 200 MHz; hardware complexity improvement; low complexity VLSI architecture; multipliers; reformulation inversion-less Berlekamp-Massey algorithms; signal to noise ratio reduction; size 0.25 mum; voltage 2.75 V; CMOS technology; Clocks; Data processing; Decoding; Hardware; Protection; Reed-Solomon codes; Signal to noise ratio; Very large scale integration; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728628
  • Filename
    4728628