• DocumentCode
    2085102
  • Title

    Modified decoding algorithm for IRA code in MIMO-OFDM communication system

  • Author

    Zhang, Meng ; Sun, Weifeng ; Xu, Meng ; Zhou, Chuanhai ; Liu, Hao

  • Author_Institution
    National ASIC System Engineering Research Center, Southeast University, Nanjing 210096, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    2193
  • Lastpage
    2195
  • Abstract
    Irregular Repeat Accumulate(IRA) code has drawn a lot of attention recently to its prominent decoding algorithm, whose performance approaches to Shannon limit. Belief propagation decoding algorithm is the best decoding algorithm for IRA code, which has great hardware complexity when implemented. Min-sum decoding algorithm modifies belief propagation decoding algorithm at the cost of decoding performance. A modified decoding algorithm is proposed to simplify belief propagation decoding algorithm with a little of loss in decoding performance according to minimum mean square error rule. The modified decoding algorithm can be applied to MIMO-OFDM communication system to decrease Inter-Carrier-Interference. Simulation results show that if MIMO-OFDM system needs SNR to be 10−5, the encoding gain of modified decoding algorithm can be 0.25dB and 0.15dB better than normalized decoding algorithm and offset decoding algorithm respectively. And the modified decoding algorithm also has lower hardware complexity.
  • Keywords
    Algorithm design and analysis; Communication systems; Complexity theory; Encoding; Maximum likelihood decoding; OFDM; Belief propagation; IRA code; Inter-Carrier-Interference; MIMO-OFDM system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5688679
  • Filename
    5688679