• DocumentCode
    3690979
  • Title

    A Doppler parameter estimation method based on mismatched compression

  • Author

    Zhongyu Li;Junjie Wu;Yulin Huang;Zhichao Sun;Jianyu Yang;Xiaobo Yang

  • Author_Institution
    University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, P.R. China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    4468
  • Lastpage
    4471
  • Abstract
    The ground moving target (GMT) model has been widely employed in modern coherent radar systems, such as the synthetic aperture radar (SAR) and the bistatic SAR (BiSAR). For the coherent radar systems, GMT imaging necessitates the compensation of the additional azimuth modulation without a priori knowledge of the GMT´s motion parameters. That is to say, it is necessary to estimate the Doppler parameters of the GMT before the azimuth compression processing. For conventional estimation methods, such as the map drift (MD) method and the phase gradient auto-focus (PGA) method, a searching procedure is necessary and leads to an expensive computational cost. In this paper, a Doppler parameter estimation method based on mismatched compression is proposed. One advantage of this method is that it doesn´t need the searching procedure. In addition, another advantage of this method is that both the Doppler centroid and the Doppler frequency rate of the GMT can be simultaneously estimated according to the relationships among the Doppler parameters, the positional offset and the boarding width of the mismatched imaging result. The theoretical analysis and numerical simulations validate that the proposed method works well with different signal to noise ratio.
  • Keywords
    "Doppler effect","Azimuth","Radar imaging","Synthetic aperture radar","Imaging","Doppler radar"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326819
  • Filename
    7326819