• DocumentCode
    40159
  • Title

    ISAR Imaging of Non-Uniformly Rotating Target via Range-Instantaneous-Doppler-Derivatives Algorithm

  • Author

    Yong Wang ; Yanchao Lin

  • Author_Institution
    Res. Inst. of Electron. Eng. Technol., Harbin Inst. of Technol., Harbin, China
  • Volume
    7
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    167
  • Lastpage
    176
  • Abstract
    Inverse synthetic aperture radar (ISAR) imaging of non-uniformly rotating target is very significant in many applications. In this case, the Doppler frequency for a scatterer is time-varying, and the traditional Range-Doppler (RD) algorithm is not appropriate for the azimuth focusing. In this paper, the received signal in a range bin is assumed to be multi-component polynomial phase signal (PPS), and a novel approach for ISAR imaging of non-uniformly rotating target via Range-Instantaneous-Doppler-Derivatives (RIDD) algorithm is proposed. For the RIDD algorithm, the cross-range resolution is derived by the arbitrary order of Doppler derivatives, and it is the generalization and extension form of the traditional Range-Instantaneous-Doppler (RID) and Range-Instantaneous-Chirp-Rate (RIC) algorithms. Results of simulated and raw data demonstrate the effectiveness of the new method proposed.
  • Keywords
    radar imaging; synthetic aperture radar; Doppler derivatives; Doppler frequency; ISAR imaging; RIDD algorithm; Range-Instantaneous-Chirp-Rate algorithm; Range-Instantaneous-Doppler-Derivatives algorithm; inverse synthetic aperture radar; multicomponent PPS; nonuniformly rotating target; polynomial phase signal; raw data; simulated data; traditional Range-Doppler algorithm; Chirp; Doppler effect; Fourier transforms; Image resolution; Imaging; Radar imaging; Time-frequency analysis; Inverse synthetic aperture radar; non-uniformly rotating; polynomial phase signal; range-instantaneous Doppler derivatives;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2013.2257699
  • Filename
    6509950