• DocumentCode
    111398
  • Title

    A Novel Code-Aided Carrier Recovery Algorithm for Coded Systems

  • Author

    Xin Man ; Zhipeng Xi ; Kai Gao ; Eryang Zhang

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    17
  • Issue
    2
  • fYear
    2013
  • fDate
    Feb-13
  • Firstpage
    405
  • Lastpage
    408
  • Abstract
    We present a novel code-aided carrier recovery method for low-density parity-check (LDPC) coded systems, which comprises two supporting algorithms: 1) a coarse synchronization by maximizing a cost function, the mean absolute value of the soft outputs of the LDPC decoder, followed by a simple interpolation operation to improve the estimation accuracy and 2) a fine synchronization based on the soft decisions produced by the LDPC decoder. With moderate computational complexity, this proposed algorithm is designed to synchronize signals with large carrier frequency offset and phase offset at low signal-to-noise ratio (SNR). When applied to the case of an 8-PSK system with (1944,972) LDPC code, the performance loss compared to the case of ideal synchronization is negligible.
  • Keywords
    computational complexity; estimation theory; interpolation; parity check codes; phase shift keying; synchronisation; 8-PSK system; LDPC decoder; SNR; coarse synchronization; code-aided carrier recovery algorithm; computational complexity; cost function maximization; interpolation operation; large carrier frequency offset; low-density parity-check decoding system; mean absolute value; phase offset; signal-to-noise ratio; soft decision; Decoding; Estimation; Frequency estimation; Frequency synchronization; Parity check codes; Signal to noise ratio; Synchronization; Code-aided; LDPC; carrier recovery; large carrier frequency offset; low SNR;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2012.121912.122278
  • Filename
    6400347