• DocumentCode
    1801596
  • Title

    Complex target signature generation

  • Volume
    1
  • fYear
    1996
  • fDate
    14-18 Oct 1996
  • Firstpage
    485
  • Abstract
    This paper describes an approach to the simulation of radar signatures from large complex targets. The issue addressed is that given a subject radar target in the form of a geometrical design, is it possible to recognise redundancy in the electromagnetic radiation source which this target represents when illuminated by a radar? This is a key issue since the task of directly evaluating the signature is often so compute intensive as to prohibit its use in a simulator. The paper describes the results of some research into this using super-resolution inverse synthetic aperture radar methods. An example of generic ship geometry is used to illustrate the achievable performance, but it is stressed that the underlying message is in the importance of signal processing for reduced redundancy in simulation, rather than the specific nature of the example used
  • Keywords
    digital simulation; electromagnetic wave scattering; inverse problems; radar computing; radar cross-sections; radar signal processing; radar target recognition; signal resolution; simulation; synthetic aperture radar; ISAR methods; RCS; complex target signature generation; electromagnetic radiation source redundancy; generic ship geometry; geometrical design; large complex targets; performance; radar cross-section; radar signature simulation; radar target; reduced redundancy; signal processing; superresolution inverse synthetic aperture radar; weighted impulse scattering model; Computational modeling; Electromagnetic scattering; Inverse synthetic aperture radar; Marine vehicles; Optical scattering; Radar cross section; Radar scattering; Radar signal processing; Solid modeling; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 1996., 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-2912-0
  • Type

    conf

  • DOI
    10.1109/ICSIGP.1996.567308
  • Filename
    567308