• DocumentCode
    168885
  • Title

    Improving holographic radar imaging resolution via deconvolution

  • Author

    Xiaoji Song ; Yi Su ; Yutao Zhu ; Chunlin Huang ; Min Lu

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2014
  • fDate
    June 30 2014-July 4 2014
  • Firstpage
    633
  • Lastpage
    636
  • Abstract
    Holographic radar usually adopts antenna with wide beam pattern to form a big synthetic aperture and to obtain high spatial resolution. However, previous works have indicated that the antenna pattern is essentially a low-pass filter in wavenumber domain and it reduces the practical resolution. To eliminate the influence of the antenna pattern and improve the practical resolution, this paper presents a deconvolution method implemented in two-dimension wavenumber domain. The proposed method acquires parameters by scaling and shifting the target echo to design a Wiener filter. With this Wiener filter, the received signal is deconvolved to restore the wavenumber spectrum. Some numerical simulations and laboratory experiments were conducted. The imaging results of the deconvolved data show that the resolution improved by 50%.
  • Keywords
    Wiener filters; antenna radiation patterns; deconvolution; holographic optical elements; radar imaging; radar resolution; Wiener filter; antenna pattern; deconvolution method; holographic radar imaging resolution; low-pass filter; synthetic aperture; target echo; two-dimension wavenumber domain; wide beam pattern antenna; Computers; Electromagnetics; Hafnium; Image resolution; Radar imaging; Radiometry; Holographic radar; antenna pattern; deconvolution; imaging resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ground Penetrating Radar (GPR), 2014 15th International Conference on
  • Conference_Location
    Brussels
  • Type

    conf

  • DOI
    10.1109/ICGPR.2014.6970502
  • Filename
    6970502