Pan Li, Chen Xudong, Zhong Yu, Yeo Swee Ping
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore.
J Opt Soc Am A Opt Image Sci Vis. 2010 Oct 1;27(10):2208-15. doi: 10.1364/JOSAA.27.002208.
The subspace-based optimization method (SOM) is an efficient approach to addressing the inverse scattering problem. In this paper, a comparative study, on the basis of numerical experiments, is conducted to evaluate the performances of variants of SOM, so as to find the optimal method for the determination of the ambiguous portion, which has a dominant influence on the computational cost and the reconstruction capability of the algorithm.
