• DocumentCode
    1403647
  • Title

    A Novel Multilevel Matrix Compression Method for Analysis of Electromagnetic Scattering From PEC Targets

  • Author

    Li, Mengmeng ; Li, Chunyan ; Ong, Chong-Jin ; Tang, Wanchun

  • Author_Institution
    Dept. of Commun. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • Volume
    60
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    1390
  • Lastpage
    1399
  • Abstract
    We present a new multilevel matrix compression method (MLMCM) and its application to the analysis of scattering problems from three-dimensional (3-D) arbitrary-shaped conductors. The compression is achieved without generating the full subblocks of the matrix by the rank-based method. Unlike the conventional rank-based method, incoming compression matrix and outgoing compression matrix are defined when coupling with a cluster of its far interaction groups. Only a small translation matrix is redefined for every two coupling groups. The merits of the proposed method are: 1) it is kernel function-independent and can be applied to arbitrary complex media; 2) it is more efficient than conventional rank-based methods. This paper shows numerical results to demonstrate the validity of the proposed method.
  • Keywords
    electromagnetic wave scattering; matrix algebra; 3D arbitrary-shaped conductors; MLMCM; PEC targets; arbitrary complex media; coupling groups; electromagnetic scattering analysis; kernel function-independent method; multilevel matrix compression method; rank-based method; three-dimensional arbitrary-shaped conductors; translation matrix; Approximation methods; Complexity theory; Impedance; Matrix decomposition; Memory management; Moment methods; Transmission line matrix methods; Integral equation; rank-based method; wave scattering;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2011.2180310
  • Filename
    6109323