• DocumentCode
    3113087
  • Title

    ISAR image reconstruction and autofocusing procedure over phase modulated signals

  • Author

    Lazarov, A.D. ; Minchev, Ch.N.

  • Author_Institution
    Artillery & Air-Defence Mil. Acad., Bulgaria
  • fYear
    2002
  • fDate
    15-17 Oct. 2002
  • Firstpage
    536
  • Lastpage
    541
  • Abstract
    A model of inverse synthetic aperture radar (ISAR) signal with Barker´s code phase modulation (PCM) is developed. To cope with the image blurring due to the range migration of object´s point scatterers an autofocusing technique for ISAR signal processing is performed. The correlation algorithm for range compression and spectral fast Fourier transform (FFT) for azimuth compression are exploited. The presented image reconstruction procedures are invariant to the object´s trajectory parameters. Numerical experiment over the simulated ISAR data is accomplished.
  • Keywords
    correlation methods; electromagnetic wave scattering; fast Fourier transforms; focusing; image motion analysis; image reconstruction; image restoration; modulation coding; phase modulation; radar imaging; spectral analysis; synthetic aperture radar; Barker´s code phase modulation; FFT; ISAR image reconstruction; ISAR signal processing; PCM; autofocusing; azimuth compression; correlation algorithm; image blurring; inverse synthetic aperture radar; phase modulated signals; point scatterers; radar surveillance; range compression; rectilinear motion; simulated ISAR data; spectral fast Fourier transform; trajectory parameters; Fast Fourier transforms; Image coding; Image reconstruction; Inverse problems; Inverse synthetic aperture radar; Phase change materials; Phase modulation; Radar scattering; Radar signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    RADAR 2002
  • Conference_Location
    Edinburgh, UK
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-750-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2002.1174776
  • Filename
    1174776