Non-linear Microwave Imaging Using Fast Iterative Shrinkage Thresholding

被引:0
|
作者
Lu, Pan [1 ]
Corcoles, Juan [2 ]
Kosmas, Panagiotis [1 ]
机构
[1] Kings Coll London, Fac Nat & Math Sci, London, England
[2] Autonoma Madrid UAM, Dept Elect & Commun Technol, Sch Engn Univ, Madrid, Spain
基金
“创新英国”项目; 英国工程与自然科学研究理事会;
关键词
BREAST; ALGORITHM; TWIST;
D O I
10.1109/piers-spring46901.2019.9017793
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
Iterative shrinkage thresholding algorithms have been proposed recently for various microwave imaging applications. This paper presents for the first time an implementation of non-linear microwave imaging via the distorted Born iterative method (DBIM) in conjunction with fast iterative shrinkage/thresholding (FISTA), which presents advantages over traditional iterative shrinkage/thresholding algorithms (ISTA) and two-step iterative shrinkage/thresholding (TwIST) in terms of speed and ease of implementation. Results from various imaging scenarios validate our approach and confirm the value of this new DBIM-FISTA algorithm for non-linear microwave imaging.
引用
收藏
页码:1949 / 1956
页数:8
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