• DocumentCode
    57222
  • Title

    Generalized Frequency Scaling and Backprojection for LFM-CW SAR Processing

  • Author

    Zaugg, Evan C. ; Long, David G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
  • Volume
    53
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    3600
  • Lastpage
    3614
  • Abstract
    This paper presents a generalized treatment of image formation for a linear-frequency-modulated continuous wave (LFM-CW) synthetic aperture radar (SAR) signal, which is a key technology in making very small SAR systems viable. The signal model is derived, which includes the continuous platform motion. The effect of this motion on the SAR signal is discussed, and an efficient compensation method is developed. Processing algorithms are developed including precise and approximate backprojection methods and a generalized frequency scaling algorithm that accounts for an arbitrary number of terms of a Taylor expansion approximation of the SAR signal in the Doppler frequency domain. Together, these algorithms allow for the processing of LFM-CW SAR data for a wide variety of system parameters, even in scenarios where traditional algorithms and signal approximations break down.
  • Keywords
    CW radar; Doppler radar; FM radar; approximation theory; frequency-domain analysis; motion compensation; radar imaging; synthetic aperture radar; Doppler frequency domain; LFM-CW SAR processing; Taylor expansion approximation; approximate backprojection method; compensation method; continuous platform motion; generalized frequency scaling; image formation; linear-frequency-modulated continuous wave synthetic aperture radar signal; Approximation algorithms; Approximation methods; Bandwidth; Chirp; Doppler effect; Synthetic aperture radar; Radar imaging; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2014.2380154
  • Filename
    7035045