• DocumentCode
    1596006
  • Title

    Nonlinear Modeling and Simulation of Radar Clutter

  • Author

    Xu-ming, Wang ; Jin-yan, Cai ; Ben, Zhang

  • Author_Institution
    Opt. & Electron. Dept., Ordnance Eng. Coll., Shijiazhuang, China
  • Volume
    3
  • fYear
    2010
  • Firstpage
    421
  • Lastpage
    424
  • Abstract
    Radar tracking and detection are always interfaced by unwanted clutter, so the research on clutter has significant meaning to the improvement of detection and tracking performance. Modeling and simulation is an important approach to study the clutter, and helpful to the development of detection theory and design of optimal detector. This paper introduces the research trend on radar clutter modeling and simulation, mainly discusses the nonlinear modeling and simulating method based on chaos theory and fractal theory, introduces the phase reconstruction of radar clutter, the application of radial basis function neural network and the support vector machine.
  • Keywords
    chaos; fractals; neural nets; radar clutter; radar detection; radar tracking; radial basis function networks; support vector machines; chaos theory; fractal theory; nonlinear modeling; optimal detector; phase reconstruction; radar clutter; radar detection; radar tracking; radial basis function neural network; support vector machine; Chaos; Computational modeling; Computer simulation; Electromagnetic scattering; Optical scattering; Radar clutter; Radar detection; Radar scattering; Radar tracking; Rayleigh scattering; chaos; clutter; modelling; neutral network; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4244-5642-0
  • Electronic_ISBN
    978-1-4244-5643-7
  • Type

    conf

  • DOI
    10.1109/ICCMS.2010.458
  • Filename
    5421257