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
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2010.2049744