• DocumentCode
    424303
  • Title

    Weighted fourth order cumulant slice based adaptive dynamic line enhancer

  • Author

    Guo, Ye-Cai ; Guo, Yi ; Zhao, Jun-Wei

  • Author_Institution
    Anhui Univ. of Sci. & Technol., China
  • Volume
    2
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    1036
  • Abstract
    To overcoming the difficulty of selecting higher order cumulant slices and to suppress Gaussian noise effectively, weighted fourth-order cumulant slice is defined using fourth-order cumulant different slices and updated by the leakage iteration algorithm. The weighted fourth-order cumulant slice-based adaptive line enhancer is proposed. Simulation tests with the underwater target-radiated noise are also carried out The simulation results have shown that the proposed algorithm can perform a drop about from 13dB to 26dB for colored Gaussian noise and that the performance of the proposed algorithm can be improved by governing the weighted coefficients of fourth-order cumulant different slices. Therefore, this algorithm is considered to be suitable for retrieving the underwater moving target-radiated line spectrum signals embedded in highly colored Gaussian noise.
  • Keywords
    Gaussian noise; higher order statistics; signal denoising; adaptive dynamic line enhancer; colored Gaussian noise; leakage iteration algorithm; underwater moving target-radiated line spectrum signals; underwater target-radiated noise; weighted fourth order cumulant slice; Frequency; Gaussian noise; Line enhancers; Marine technology; Noise level; Radar signal processing; Signal detection; Signal processing algorithms; Sonar equipment; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382340
  • Filename
    1382340