• DocumentCode
    42764
  • Title

    Channel Error Estimation Methods for Multichannel SAR Systems in Azimuth

  • Author

    Taoli Yang ; Zhenfang Li ; Yanyang Liu ; Zheng Bao

  • Author_Institution
    Key Lab. for Radar Signal Process., Xidian Univ., Xi´an, China
  • Volume
    10
  • Issue
    3
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    548
  • Lastpage
    552
  • Abstract
    With the combination of digital beamforming (DBF) processing, multichannel synthetic aperture radar (SAR) systems are promising in high-resolution wide-swath imaging. However, the mismatch among channels will degrade the performance of DBF. In this letter, two novel methods are proposed to estimate channel errors for multichannel SAR systems in azimuth. The first method is based on the fact that the space spanned by the signal eigenvectors is equal to that spanned by the practical steering vectors. In the second method, the channel errors are directly estimated by the antenna patterns without matrix decomposition and inversion processing. Both the theoretical analysis and experiments demonstrate the effectiveness and efficiency of these two methods.
  • Keywords
    array signal processing; geophysical signal processing; remote sensing by radar; synthetic aperture radar; DBF processing; azimuth; channel error estimation method; digital beamforming processing; high resolution wide swath imaging; inversion processing; matrix decomposition; multichannel SAR system; multichannel synthetic aperture radar; signal eigenvector; steering vector; Antennas; Azimuth; Channel estimation; Doppler effect; Error analysis; Synthetic aperture radar; Vectors; Error estimation; high-resolution wide-swath (HRWS); multichannel; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2212873
  • Filename
    6302175