DocumentCode :
34227
Title :
Inversion of Scattering Data for Reconstructing Dielectric Objects With Limited Observation Angles
Author :
Jie Zhang ; Kuo Yang ; Mei Song Tong
Author_Institution :
Dept. of Electron. Sci. & Technol., Tongji Univ., Shanghai, China
Volume :
13
fYear :
2014
fDate :
2014
Firstpage :
83
Lastpage :
86
Abstract :
Reconstructing unknown dielectric objects by integral equation approach (IEA) requires to alternatively solve the forward scattering integral equation (FSIE) and the inverse scattering integral equation (ISIE) in the frame of Born iterative method (BIM) or its variations. Though the FSIE can be conveniently solved with regular numerical methods, solving the ISIE could be challenging because of its inherent features, especially when the diverse data are not available. In this letter, we consider an unfavorable measurement condition, i.e., the limited observation angles, and develop a Gauss-Newton minimization approach (GNMA) incorporated with a line search method (LSM) and multiplicative regularization method (MRM) to enhance the inversion quality of scattering data. Numerical examples for reconstructing two-dimensional (2-D) dielectric objects are presented to illustrate the inversion approach.
Keywords :
Newton method; image reconstruction; integral equations; minimisation; BIM; Born iterative method; FSIE; GNMA; Gauss-Newton minimization approach; IEA; ISIE; LSM; MRM; forward scattering integral equation; integral equation approach; inverse scattering integral equation; inversion quality; limited observation angles; line search method; multiplicative regularization method; object reconstruction; scattering data inversion; two-dimensional dielectric objects; unfavorable measurement condition; unknown dielectric objects; Dielectrics; Image reconstruction; Imaging; Integral equations; Inverse problems; Permittivity; Scattering; Dielectric object; Gauss–Newton minimization; integral equation approach; inverse scattering;
fLanguage :
English
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
Publisher :
ieee
ISSN :
1536-1225
Type :
jour
DOI :
10.1109/LAWP.2013.2295754
Filename :
6690100
Link To Document :
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