• DocumentCode
    2717895
  • Title

    Complexity-reduced decoding algorithm for unmodulated parallel-combinatory high-compaction multicarrier modulation signals

  • Author

    Hayashi, Ryuji ; Hamamura, Masanori

  • Author_Institution
    Kochi Univ. of Technol., Kami
  • fYear
    2008
  • fDate
    16-18 Dec. 2008
  • Firstpage
    49
  • Lastpage
    53
  • Abstract
    A new decoding algorithm that consists of two decoding stages to reduce the complexity of the maximum likelihood decoding for parallel combinatory high-compaction multi-carrier modulation is presented. The first decoding stage is in charge of a preliminary decision that coarsely searches the candidates using the QRD-M algorithm, and the second decoding stage is responsible for the final decision that recovers the message data using the candidates chosen in the first decoding stage. The proposed two-stage decoding algorithm is shown to be effective with respect to bit-error rate performance, with a small increase in computational complexity, compared to the one-stage decoding using the QRD-M algorithm.
  • Keywords
    computational complexity; error statistics; matrix decomposition; maximum likelihood decoding; modulation coding; QR matrix decomposition; QRD-M algorithm; bit-error rate; candidate search; complexity-reduced decoding algorithm; maximum likelihood decoding; parallel combinatory high-compaction multicarrier signal modulation; Bandwidth; Bit error rate; Computational complexity; Demodulation; Euclidean distance; Frequency division multiplexing; Interference; Maximum likelihood decoding; Multipath channels; OFDM modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information Technology, 2008. IIT 2008. International Conference on
  • Conference_Location
    Al Ain
  • Print_ISBN
    978-1-4244-3396-4
  • Electronic_ISBN
    978-1-4244-3397-1
  • Type

    conf

  • DOI
    10.1109/INNOVATIONS.2008.4781717
  • Filename
    4781717