• DocumentCode
    2830631
  • Title

    Optimization of viterbi decoder parameters for WRAN system

  • Author

    Ahmadi, Mehdi ; Fakhraie, Sied Mehdi

  • Author_Institution
    ECE Dept., Univ. of Tehran, Tehran, Iran
  • Volume
    3
  • fYear
    2010
  • fDate
    21-24 May 2010
  • Abstract
    Extracting the fixed point model for digital hardware implementation is an important step in the realization of digital signal processing systems. In such a model, limited word lengths for processing blocks should be selected with no harmful effects on the system performance. Viterbi decoder is one of the commonly used blocks in digital communication systems. Optimizing its word length causes a considerable reduction in the chip area and decoding delay. In this paper the Viterbi decoder parameters, i.e. the number of soft decision bits and trace-back depth, are optimized for a new wireless standard, IEEE 802.22. The optimization is performed with less than 0.5 dB degradation of BER of the fixed point model compared to the floating point model. The 64-QAM modulation with the code rate 5/6 is selected as a case study since it is the most sensitive mode in the standard to the channel noise. Simulation results show that the Viterbi decoder with 7 bit soft decision and trackback depth of 70 meets the system requirements.
  • Keywords
    IEEE standards; Viterbi decoding; error statistics; optimisation; quadrature amplitude modulation; signal processing; wireless LAN; BER; IEEE 802.22; QAM modulation; Viterbi decoder parameters; WRAN system; channel noise; decoding delay; digital communication systems; digital hardware implementation; digital signal processing systems; fixed point model; floating point model; limited word lengths; optimization; soft decision bits; system performance; trace-back depth; trackback depth; wireless standard; Bit error rate; Decoding; Degradation; Delay; Digital communication; Digital signal processing chips; Hardware; System performance; Viterbi algorithm; Wireless sensor networks; IEEE 802.22; PHY layer; Viterbi decoder; WRAN; convolutional encoder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication (ICFCC), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5821-9
  • Type

    conf

  • DOI
    10.1109/ICFCC.2010.5497679
  • Filename
    5497679