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
Link To Document