• DocumentCode
    2245589
  • Title

    Combined decoding with phase inversion for ARQ systems

  • Author

    Zhenchao Wang ; Wenling Xue ; Fang Wang

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose an algorithm with phase inversion retransmission for error control. The proposed algorithm can effectively suppress the noise and improve the signal strength. With enhanced input signal-to-noise ratio (SNR) for the demodulator, the error rate can be reduced Moreover, the algorithm is further equipped with combined decoding. Both the theoretical analysis and the simulation results show the effectiveness of the proposed algorithm, which can reduce the error rate by increasing the retransmission times. It can be applied to the communication systems having a high requirement for data transmission reliability but suffering from hostile communication channels, such as the low-voltage power line communication systems.
  • Keywords
    automatic repeat request; carrier transmission on power lines; data communication; decoding; demodulators; telecommunication channels; telecommunication network reliability; ARQ systems; data transmission reliability; decoding; demodulator; error control; hostile communication channels; low-voltage power line communication systems; phase inversion retransmission; signal-to-noise ratio; Algorithm design and analysis; Analytical models; Automatic repeat request; Communication systems; Decoding; Demodulation; Error analysis; Error correction; Power system reliability; Signal to noise ratio; ARQ; PLC; Phase inversion; combined decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1008-8
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2007.5308758
  • Filename
    5308758