• DocumentCode
    3676759
  • Title

    The application of compressed sensing theory in wavelet method of moments

  • Author

    Zhe Wang;Bing-Zhong Wang;Ya Qing Wen;Ren Wang

  • Author_Institution
    Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1488
  • Lastpage
    1489
  • Abstract
    In this work, we present a novel method that employs compressed sensing (CS) in method of moments (MoM). Inspired by the idea of the Wavelet-MoM, a suitable discrete wavelet transformation (DWT) matrix is used to make the classical MoM equation sparse for satisfying the sparsity requirement of CS. Then, based on the correlation between the localized solution and excitation vectors, the underdetermined equation is constructed systematically. Finally, the stagewise orthogonal matching pursuit (StOMP) method is used to fast solve the underdetermined equation. Numerical experiments are presented for validation purposes.
  • Keywords
    "Method of moments","Discrete wavelet transforms","Sparse matrices","Compressed sensing","Matching pursuit algorithms","Correlation","Impedance"
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/APS.2015.7305133
  • Filename
    7305133