• DocumentCode
    576077
  • Title

    Azimuth reconstruction demonstration using TerraSAR-X dual receive antenna mode

  • Author

    Kim, Jung-Hyo ; Younis, Marwan ; Prats, Pau ; Krieger, Gerhard

  • Author_Institution
    German Aerosp. Center (DLR), Microwaves & Radar Inst., Wessling, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1537
  • Lastpage
    1540
  • Abstract
    The paper presents the first spaceborne experiment of digital beamforming (DBF) in synthetic aperture radar (SAR) and its result. The DBF in future spaceborne SAR will be used to suppress azimuth ambiguities and to reconstruct Doppler spectrum from multiple spectra distorted by spectral aliasing due to spatial sub-sampling. TerraSAR-X dual receive antenna (DRA) mode provides two parallel datasets, which are the sum and difference signals of two receive antennas. For the DBF experiment, firstly, we recover each receive antenna signal from those datasets and carry the DBF experiment out with the recovered data. Therefore, this experiment contains the each channel data recovery and channel balancing as well as SAR imaging with DBF. The experimental results show the prominent performance improvement in the azimuth ambiguity level, compared to a conventional single antenna mode.
  • Keywords
    Doppler radar; antenna arrays; array signal processing; geophysical signal processing; radar antennas; radar signal processing; remote sensing by radar; synthetic aperture radar; Doppler spectrum reconstruction; TerraSAR-X DRA mode; TerraSAR-X dual receive antenna mode; azimuth ambiguity suppression; azimuth reconstruction; digital beamforming; parallel datasets; spaceborne SAR experiment; spatial subsampling; spectral aliasing; synthetic aperture radar; Azimuth; Doppler effect; Image reconstruction; Receiving antennas; Spaceborne radar; Synthetic aperture radar; SAR; TerraSARX; digital beamforming; dual receive antenna mode; spaceborne demonstration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351104
  • Filename
    6351104