• DocumentCode
    1527430
  • Title

    An Improved Subspace-Based Optimization Method and Its Implementation in Solving Three-Dimensional Inverse Problems

  • Author

    Zhong, Yu ; Chen, Xudong ; Agarwal, Krishna

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • Volume
    48
  • Issue
    10
  • fYear
    2010
  • Firstpage
    3763
  • Lastpage
    3768
  • Abstract
    This paper proposes an improved subspace-based optimization method (SOM) by using a new construction method for the ambiguous part of the induced current. The new current construction method reduces not only the computational complexity of the current construction in every iteration of the optimization but also the computational complexity of the singular-value decomposition of the mapping from the induced current to scattered fields. Thus, the improved SOM is able to deal with the 3-D inverse-scattering problems. Numerical tests validate the algorithm.
  • Keywords
    computational complexity; inverse problems; iterative methods; optimisation; singular value decomposition; 3-D inverse-scattering problems; computational complexity; current construction method; induced current; iteration; singular-value decomposition; subspace-based optimization method; three-dimensional inverse problems; Computational complexity; Electromagnetic fields; Electromagnetic scattering; Inverse problems; Magnetic anisotropy; Noise level; Optimization methods; Robust stability; Stochastic processes; Testing; 3-D inverse problems; Inverse scattering; optimization;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2010.2049744
  • Filename
    5498999