• DocumentCode
    1853484
  • Title

    Modified frequency scaling processing algorithm for nonlinear FMCW SAR

  • Author

    Yu Wen ; Zhao Siwei ; Song Xiaoquan

  • Author_Institution
    Beijing Inst. of Tracking & Telecommun. Technol., Beijing, China
  • Volume
    3
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1861
  • Lastpage
    1865
  • Abstract
    The combination of compact frequency-modulated continuous wave (FMCW) technology and synthetic aperture radar (SAR) paves a way for the development of the lightweight, cost-effective, high-resolution miniaturized airborne imaging radar. One limiting factor to the use of FMCW SAR sensors is the well-known presence of nonlinearities in the transmitted signal, which highly deteriorates the range resolution and image quality because of the pair-echo effect. Moreover, the so-called stop-and-go approximation for pulsed SAR is no longer valid in FMCW SAR because of the continuous radar motion during the transmission of the relatively long sweep and the reception of the corresponding echo, which will induce serious Doppler frequency shift. A novel modified frequency scaling algorithm is proposed in this paper to compensate this Doppler shift, at the same time effectively correcting the range frequency non-linearity without extra computation load. The validity of the proposed algorithm is demonstrated with point target simulation results.
  • Keywords
    CW radar; Doppler radar; Doppler shift; FM radar; airborne radar; approximation theory; radar imaging; radar resolution; synthetic aperture radar; Doppler frequency shift; airborne imaging radar; compact frequency-modulated continuous wave radar; continuous radar motion; frequency scaling processing; high-resolution miniaturized imaging radar; nonlinear FMCW SAR; pair-echo effect; stop-and-go approximation; synthetic aperture radar; frequency modulated continuous wave (FMCW); frequency scaling; nonlinearity; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491943
  • Filename
    6491943