Subspace-Based Distorted-Born Iterative Method for Solving Inverse Scattering Problems

被引:70
|
作者
Ye, Xiuzhu [1 ]
Chen, Xudong [2 ]
机构
[1] Beihang Univ, Dept Elect Engn, Beijing 100191, Peoples R China
[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117583, Singapore
基金
中国国家自然科学基金;
关键词
High-resolution imaging; image reconstruction; inverse problems; microwave imaging;
D O I
10.1109/TAP.2017.2766658
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The electromagnetic inverse scattering problem can be effectively handled by means of the so-called distorted-Born iterative method (DBIM). A new method, denoted as the subspace-based DBIM (S-DBIM), is proposed. It updates the Green's function for the inhomogeneous background at each step of the iterative procedure, like DBIM. By linearly retrieving the deterministic subspace of the induced current, the S-DBIM estimates the total electric field more accurately than the DBIM does and thus exhibits a faster convergence speed. To avoid the computationally demanding and arguably hard choice of the optimal Tikhonov regularization term involved in the procedure, a second version of S-DBIM, which is more robust against noise and has faster convergence, is also proposed. Thorough numerical simulations show that both versions of S-DBIM achieve super-resolved retrievals of the benchmark "Austria" profile.
引用
收藏
页码:7224 / 7232
页数:9
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