• DocumentCode
    1321311
  • Title

    Adaptive Multicarrier OFDM SAR Signal Processing

  • Author

    Garmatyuk, Dmitriy ; Brenneman, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Miami Univ., Oxford, OH, USA
  • Volume
    49
  • Issue
    10
  • fYear
    2011
  • Firstpage
    3780
  • Lastpage
    3790
  • Abstract
    This paper describes a solution algorithm for ultrawideband orthogonal frequency-division multiplexing (OFDM) synthetic aperture radar (SAR) signal processing. A single pointlike target is assumed, and stripmap SAR geometry is used for the analysis. The peculiarity of extracting phase history from a multicarrier return signal-such as OFDM-is in solving for the phase component using all signals´ subbands in frequency domain. The least squares approach is used to find the solution form, and a grid search algorithm is used to find the phase history sample estimates. Simulation results illustrating the algorithm´s performance in a 1-D cross-range profile reconstruction case, as well as in 2-D SAR imaging scenarios, are presented and discussed. It is shown that the proposed method is effective in reconstructing cross-range profiles and possesses high potential for adaptive SAR imaging while exhibiting good computational performance approximating that of range-Doppler algorithm.
  • Keywords
    OFDM modulation; frequency-domain analysis; radar imaging; search problems; synthetic aperture radar; ultra wideband radar; 1-D cross-range profile reconstruction case; adaptive multicarrier OFDM SAR signal processing; frequency domain; grid search algorithm; range-Doppler algorithm; synthetic aperture radar signal processing; ultrawideband orthogonal frequency-division multiplexing; History; Image reconstruction; OFDM; Radar imaging; Synthetic aperture radar; Ultra wideband radar; orthogonal frequency-division multiplexing (OFDM); phase history; radar imaging; synthetic aperture radar (SAR); ultrawideband (UWB) radar;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2011.2165546
  • Filename
    6019043