• DocumentCode
    3750626
  • Title

    Compressed sensing based on FE-BI for solving electromagnetic scattering problems

  • Author

    Hou Dayou;Chen Mingsheng;Kong Meng;Cao Xinyuan;Zhang Liang;Wu Xianliang

  • Author_Institution
    School of Electronic and Information Engineering, Hefei Normal University of China, Hefei 230601
  • Volume
    2
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    To calculate electromagnetic scattering problems over a wide incident angle by finite Element Boundary integral (FE-BI), the difficult usually lies in a great amount of repeated computation, since iterative operations are required at every angle with the incident direction changing. A new solution scheme based on compressed sensing (CS) is proposed combined with FE-BI to improve the computational efficiency, in which a new incident source including rich angle information is constructed. Under the incident source, measurements of field values can be obtained with FEM, and the field value can be reconstructed at each node and each angle of incidence with orthogonal matching pursuit (OMP). In contrast with traditional FE-BI, the calculated results by the improved method are proposed, it is shown that the new method can greatly reduce computation time and maintain high accuracy.
  • Keywords
    "Finite element analysis","Sparse matrices","Compressed sensing","Electromagnetic scattering","Matching pursuit algorithms","Transforms","Integral equations"
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (APMC), 2015 Asia-Pacific
  • Print_ISBN
    978-1-4799-8765-8
  • Type

    conf

  • DOI
    10.1109/APMC.2015.7413113
  • Filename
    7413113