• DocumentCode
    2836636
  • Title

    Efficient iterative receiver for LDPC coded wireless IPTV system

  • Author

    Fan, YouZhe ; She, James ; Tsui, Chi-ying

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    953
  • Lastpage
    956
  • Abstract
    Multi-level superposition coded modulation (SCM) is a scalable technique for wireless video broadcast/ multicast, in which iterative turbo structures provide receivers with multi-resolution demodulations subject to a high complexity. Forward error correction using low-density parity-check (LDPC) code is helpful for better received video quality but further increasing the receiver complexity. In this paper, a method is proposed to reduce the receiver complexity by using a sequential structure with a faster convergence for demodulation. In addition, the iterative demodulator and the LDPC decoder are jointly designed as a multi-loop iterative structure to reduce the decoding complexity. Experimental results show that up to 67% decoding complexity is reduced and better video quality is achieved at receivers under low signal-to-noise ratios.
  • Keywords
    IPTV; demodulation; forward error correction; iterative decoding; modulation coding; parity check codes; radiocommunication; video coding; LDPC decoder; LDPC-coded wireless IPTV system; decoding complexity reduction; efficient iterative receiver; forward error correction; iterative demodulator; iterative turbo structures; low density parity check code; multilevel SCM; multilevel superposition coded modulation; multiloop iterative structure; multiresolution demodulations; receiver complexity; sequential structure; signal-to-noise ratio; video quality; wireless video broadcast-multicast; Complexity theory; Decoding; Detectors; IPTV; Iterative decoding; Receivers; IPTV; LDPC code; scalable video; superposition coded modulation; turbo structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116719
  • Filename
    6116719