• DocumentCode
    3690345
  • Title

    Advantages and challenges of power spectral density estimation methods for scanning radar angular superresolution

  • Author

    Yue Wang;Yongchao Zhang;Yulin Huang;Wenchao Li;Jianyu Yang;Haiguang Yang

  • Author_Institution
    School of Electronic Engineering University of Electronic Science and Technology of China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1925
  • Lastpage
    1928
  • Abstract
    The angular superresolution is of great significance for scanning radar in forward-looking imaging. There are many techniques documented in literature to enhance the angular resolution, of which deconvolution method and power spectral density(PSD)methods are favored and attain many interests. In this paper, we focus on analyzing the advantages and challenges of PSD methods in comparison with the deconvolution method. Firstly, three typical PSD estimation approaches are introduced, followed with the comparison with deconvo-lution method that summarizes the advantages and challenges of PSD methods in theory. Simulations are provided in terms of coherence and number of snapshots, which presents the performance of different PSD methods and Lucy-Richardson deconvolution method, better demonstrating the advantages and challenges of PSD methods.
  • Keywords
    "Estimation","Image resolution","Deconvolution","Multiple signal classification","Radar","Signal resolution","Azimuth"
  • 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.2015.7326171
  • Filename
    7326171