Resolution Capabilities of the DBIM-TwIST Algorithm in Microwave Imaging

被引：0
|
作者：
Guo, Ziwen [1 ]
Ahsan, Syed [1 ]
Karadima, Olympia [1 ]
Sotiriou, Ioannis [1 ]
Kosmas, Panagiotis [1 ]
机构：
[1] Kings Coll London, Dept Informat, London, England
来源：
2019 13TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP) | 2019年
基金：
“创新英国”项目; 英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词：
adaptive thresholding; DBIM; CGLS; TWIST; microwave imaging;
D O I：
暂无
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：
We investigate resolution capabilities of adaptive thresholding methods in the context of iterative microwave imaging algorithms. Our test cases involve two closely located cylindrical targets of high dielectric contrast with respect to the background in a microwave tomography setup simulated in CST. We apply a distorted Born iterative method (DBIM), and compare a two-step iterative shrinkage thresholding (TwIST) implementation with a conventional conjugate gradient least squares (CGLS) method as linear solvers at each DBIM iteration. Our results demonstrate that applying the TwIST approach can resolve the two closely-located targets much more accurately than the CGLS under identical settings in the DBIM algorithm.
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页数：4
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