• DocumentCode
    691578
  • Title

    Radar Clutter Suppression Solution Based on ICA

  • Author

    Luo Qian

  • Author_Institution
    Beijing Inf. Sci. & Technol. Univ., Beijing, China
  • fYear
    2013
  • fDate
    6-7 Nov. 2013
  • Firstpage
    429
  • Lastpage
    432
  • Abstract
    It has been a hard task in radar signal processing to detect dim moving targets in a very strong clutter background. This paper presents a new radar clutter suppression solution based on independent component analysis technique to estimate independent components (signals) and separate clutter signal from the observed low signal to noise ratio radar echo. The problems of the sequence order ambiguity and sign uncertainty encountered in the practical use of independent component analysis for signal component separation have been solved by applying kurtosis criterion to separate basis signals. Simulation results show that this method can efficiently suppress strong clutter and detect dim moving target signals.
  • Keywords
    independent component analysis; object detection; radar clutter; radar detection; source separation; ICA; clutter signal separation; dim moving target detection; independent component analysis technique; kurtosis criterion; radar clutter suppression solution; radar echo; radar signal processing; signal component separation; signal to noise ratio; Clutter; Independent component analysis; Radar clutter; Radar imaging; Signal to noise ratio; Vectors; agent; decision support system; human resource management system; multi-agent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-2791-3
  • Type

    conf

  • DOI
    10.1109/ISDEA.2013.502
  • Filename
    6843479