• DocumentCode
    3247407
  • Title

    Improved Low Complexity Hybrid Turbo Code: A Modified Turbo Code

  • Author

    Bhise, Archana ; Vyavahare, Prakash D.

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., K.J. Somaiya Inst. of Eng. & Inf. Technol., Mumbai, India
  • fYear
    2009
  • fDate
    16-18 Dec. 2009
  • Firstpage
    1162
  • Lastpage
    1166
  • Abstract
    Turbo convolutional codes (TCC) are excellent error correcting codes as they show near Shannon capacity performance in communication systems. However, turbo decoders are computationally complex. Recently, a class of modified turbo codes called low complexity hybrid turbo codes (LCHTC) is proposed with bit error rate (BER) which is almost same as that of turbo codes. In this paper improved low complexity hybrid turbo codes (ILCHTC) and its BER performance is presented. Simulation results show that BER performance and error convergence of ILCHTC is better than that of LCHTC. Analysis of ILCHTC and LCHTC decoders show that the number of computations reduce by a factor of two as compared to those required by the decoder of TCC. Decoder complexity of TCC remains unchanged if puncturing is used for code rate adjustment unlike LCHTC and ILCHTC in which code rate is adjusted by changing the parameters of encoders.
  • Keywords
    communication complexity; convolutional codes; decoding; error correction codes; error statistics; turbo codes; Shannon capacity performance; bit error rate; communication systems; decoder complexity; error correcting codes; low complexity hybrid turbo code; turbo convolutional codes; turbo decoders; AWGN; Bit error rate; Block codes; Computational modeling; Concatenated codes; Convergence; Convolutional codes; Error correction codes; Iterative decoding; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2009 2nd International Conference on
  • Conference_Location
    Nagpur
  • Print_ISBN
    978-1-4244-5250-7
  • Electronic_ISBN
    978-0-7695-3884-6
  • Type

    conf

  • DOI
    10.1109/ICETET.2009.126
  • Filename
    5395421