• DocumentCode
    142685
  • Title

    Divide and conquer: A fast matrix inverse method of iterative adaptive approach for real beam superresolution

  • Author

    Yongchao Zhang ; Yin Zhang ; Wenchao Li ; Yulin Huang ; Jianyu Yang

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    698
  • Lastpage
    701
  • Abstract
    This paper present an efficient matrix inverse algorithm of the recent iterative adaptive approach (IAA) in the application of real beam superresolution (RBS). Based on the inherently band structure of the covariance matrix, the computational complexity of inverse can be reduced by avoiding the computation of zero elements. To achieve this, the divide and conquer (D&C) method will be introduced to fast inverse the covariance matrix. Numerical simulations illustrate the efficiency of the proposed algorithm.
  • Keywords
    computational complexity; covariance matrices; image resolution; inverse problems; iterative methods; numerical analysis; radar imaging; radar resolution; D&C method; IAA; RAR imaging; RBS; band structure; computational complexity; covariance matrix; divide and conquer method; fast matrix inverse method; iterative adaptive approach; numerical simulation; real aperture radar imaging; real beam superresolution; Azimuth; Complexity theory; Covariance matrices; Image resolution; Imaging; Radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946519
  • Filename
    6946519