• DocumentCode
    2384792
  • Title

    A new super-resolution 3D-SAR imaging method based on MUSIC algorithm

  • Author

    Chen, Cheng ; Xiaoling, Zhang

  • Author_Institution
    E.E.Dept., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    525
  • Lastpage
    529
  • Abstract
    This paper presents a new imaging method for linear array SAR (LASAR) based on multiple signal classification (MUSIC) algorithm. Limited by the length of linear array antenna in practice, LASAR has a much lower resolution in cross-track (CT) direction than the resolution in range and along-track (AT) direction. Besides, to traditional matched filter (MF) method, restricted by the Rayleigh limit, the resolution of along-track direction is difficult to rise. To overcome these limitations, this paper applies 2D-MUSIC algorithm in cross track direction and along-track direction instead of traditional matched filter method. According to the new imaging method based on 2D-MUSIC algorithm, imaging result of high resolution can be recovered from the noisy scene. Under the same system parameters, compared with traditional method, the presented new imaging method can greatly improve imaging resolution and suppress the side-lobe for LASAR 3D imaging in cross-track direction and along-track direction. The simulated results confirm the validity of the method and show that it can improve the imaging quality.
  • Keywords
    image classification; linear antenna arrays; matrix algebra; radar antennas; radar imaging; radar resolution; synthetic aperture radar; 2D-MUSIC algorithm; LASAR 3D imaging; Rayleigh limit; along-track direction; cross-track direction; imaging resolution; linear array SAR imaging method; linear array antenna; matched filter method; multiple signal classification algorithm; side-lobe suppression; superresolution 3D-SAR imaging method; Arrays; Backscatter; Covariance matrix; Image resolution; Imaging; Multiple signal classification; Radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2011 IEEE
  • Conference_Location
    Kansas City, MO
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-8901-5
  • Type

    conf

  • DOI
    10.1109/RADAR.2011.5960592
  • Filename
    5960592