Efficient Born Iterative Method for Inverse Scattering Based on Modified Forward-Solver

被引:12
作者
Wei, Teng-Fei [1 ]
Wang, Xiao-Hua [1 ]
Wang, Lei [1 ]
Feng, Zhihong [2 ]
Wang, Bing-Zhong [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Phys, Chengdu 610054, Peoples R China
[2] Hebei Semicond Res Inst, Natl Key Lab ASIC, Shijiazhuang 050051, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Permittivity; Iterative methods; Inverse problems; Imaging; Acceleration; Green' s function methods; Receivers; Born iterative method; Born series; electromagnetic inverse scattering; microwave imaging; OBJECTS;
D O I
10.1109/ACCESS.2020.3046264
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The traditional Born iterative method (BIM) and distorted Born iterative method (DBIM) are both effective for electromagnetic scattering inversion. But they are inefficient because of the computation of forward scattering problem in each iteration. In this paper, a modified forward-solver scheme based on Born series is proposed for improving the efficiency. By using this scheme, the traditional time-consuming forward scattering procedure, matrix inversion, is replaced by a simple multiplication with low computation complexity in each iteration. Numerical and experimental two-dimensional electromagnetic scattering models are used to validate the proposed method. The imaging results and CPU times indicate that the presented methods have good accuracy and can improve the efficiency greatly.
引用
收藏
页码:229101 / 229107
页数:7
相关论文
共 17 条
[1]   Modified Born Iterative Method in Medical Electromagnetic Tomography Using Magnetic Field Fluctuation Contrast Source Operator [J].
Afsari, Arman ;
Abbosh, Amin M. ;
Rahmat-Samii, Yahya .
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2019, 67 (01) :454-463
[2]   Special section: Testing inversion algorithms against experimental data - Guest editors introduction [J].
Belkebir, K ;
Saillard, M .
INVERSE PROBLEMS, 2001, 17 (06) :1565-1571
[3]   Inversion of experimental multi-frequency data using the contrast source inversion method [J].
Bloemenkamp, RF ;
Abubakar, A ;
van den Berg, PM .
INVERSE PROBLEMS, 2001, 17 (06) :1611-1622
[4]   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
[5]   Inverse scattering with real data: detecting and imaging homogeneous dielectric objects [J].
Crocco, L ;
Isernia, T .
INVERSE PROBLEMS, 2001, 17 (06) :1573-1583
[6]  
Cui TJ, 2001, IEEE T GEOSCI REMOTE, V39, P339, DOI 10.1109/36.905242
[7]   Imaging strongly scattering media using a multiple frequency distorted born iterative method [J].
Haddadin, OS ;
Ebbini, ES .
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 1998, 45 (06) :1485-1496
[8]   Fast inverse scattering solutions using the distorted Born iterative method and the multilevel fast multipole algorithm [J].
Hesford, Andrew J. ;
Chew, Weng C. .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2010, 128 (02) :679-690
[9]   Microwave imaging for brain stroke detection using Born iterative method [J].
Ireland, David ;
Bialkowski, Konstanty ;
Abbosh, Amin .
IET MICROWAVES ANTENNAS & PROPAGATION, 2013, 7 (11) :909-915
[10]  
Kang JS, 1996, IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM - 1996 DIGEST, VOLS 1-3, P2156, DOI 10.1109/APS.1996.550036