Focusing-Based Newton Solution for Electromagnetic Inverse Scattering Problems

被引:1
作者
Uregen, Erdem [1 ]
Yapar, Ali [1 ]
机构
[1] Istanbul Tech Univ, Elect & Elect Engn Fac, TR-34467 Istanbul, Turkiye
关键词
Inverse problems; Focusing; Newton method; Image reconstruction; Integral equations; Antenna measurements; Permittivity; inverse scattering problems (ISPs); linearization; microwave imaging; ALGORITHM;
D O I
10.1109/TAP.2024.3460193
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
This article presents a new physical linearization technique for inverse scattering problems (ISPs) and an algorithm that integrates this technique with the Newton method. It is shown that focusing the incident field reduces the nonlinearity of the problem, enabling successful reconstructions in high resolution. In addition, the algorithm effectively integrates the focusing approach into the Newton method. With this contribution, the multiple scattering effect due to the whole investigation domain is suppressed, and thus, nonlinear and ill-posed nature of the problem is mitigated. Also, the algorithm eliminates the need for an accurate initial guess since it constructs the required initial guesses through the iterative process. Several numerical tests demonstrating the effectiveness of the focusing concept and the algorithm are conducted. It is shown that the proposed method provides successful reconstructions in which the conventional multi-incidence Newton solution fails. Besides, not only are the reconstruction errors substantially reduced, but the computation times are also decreased by approximately a factor of 3. In addition, the proposed method performs robustly against noise up to 20%.
引用
收藏
页码:8611 / 8620
页数:10
相关论文
共 38 条
[1]   Imaging of biomedical data using a multiplicative regularized contrast source inversion method [J].
Abubakar, A ;
van den Berg, PM ;
Mallorqui, JJ .
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2002, 50 (07) :1761-1771
[2]   Total variation as a multiplicative constraint for solving inverse problems [J].
Abubakar, A ;
van den Berg, PM .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (09) :1384-1392
[3]   Non-Linear Inverse Scattering via Sparsity Regularized Contrast Source Inversion [J].
Bevacqua, Martina Teresa ;
Crocco, Lorenzo ;
Di Donato, Loreto ;
Isernia, Tommaso .
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2017, 3 (02) :296-304
[4]   A Qualitative Inverse Scattering Method for Through-the-Wall Imaging [J].
Catapano, Ilaria ;
Crocco, Lorenzo .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2010, 7 (04) :685-689
[5]   Subspace-Based Optimization Method for Solving Inverse-Scattering Problems [J].
Chen, Xudong .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (01) :42-49
[6]   RECONSTRUCTION OF 2-DIMENSIONAL PERMITTIVITY DISTRIBUTION USING THE DISTORTED BORN ITERATIVE METHOD [J].
CHEW, WC ;
WANG, YM .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1990, 9 (02) :218-225
[7]  
Chew Weng C., 1999, IEEE Press Series on Electromagnetic Wave Theory
[8]   Fast Microwave Through Wall Imaging Method With Inhomogeneous Background Based on Levenberg-Marquardt Algorithm [J].
Chu, Yanqing ;
Xu, Kuiwen ;
Zhong, Yu ;
Ye, Xiuzhu ;
Zhou, Tianyi ;
Chen, Xudong ;
Wang, Gaofeng .
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2019, 67 (03) :1138-1147
[9]  
Colton D., 2012, INVERSE ACOUSTIC ELE
[10]  
Cui TJ, 2001, IEEE T GEOSCI REMOTE, V39, P339, DOI 10.1109/36.905242