Abstract

A signal-subspace approach to reconstruct the permittivities of extended scatterers in two-dimensional settings is proposed. A portion of the scatterers’ information is retrieved by the signal-subspace method, and the remaining part is obtained by solving a nonlinear least-squares problem. The method exhibits several strengths, including robustness against noise, fast convergence, less scattering data, high resolution, and the ability to deal with scatterers of special shapes.

© 2009 Optical Society of America

Subspace-based optimization method for reconstructing extended scatterers: transverse electric case

Li Pan, Krishna Agarwal, Yu Zhong, Swee Ping Yeo, and Xudong Chen
J. Opt. Soc. Am. A 26(9) 1932-1937 (2009)

Signal-subspace method approach to the intensity-only electromagnetic inverse scattering problem

Xudong Chen
J. Opt. Soc. Am. A 25(8) 2018-2024 (2008)

Comparison among the variants of subspace-based optimization method for addressing inverse scattering problems: transverse electric case

Li Pan, Xudong Chen, Yu Zhong, and Swee Ping Yeo
J. Opt. Soc. Am. A 27(10) 2208-2215 (2010)

Multiresolution subspace-based optimization method for inverse scattering problems

Giacomo Oliveri, Yu Zhong, Xudong Chen, and Andrea Massa
J. Opt. Soc. Am. A 28(10) 2057-2069 (2011)

Imaging three-dimensional anisotropic scatterers in multilayered medium by multiple signal classification method with enhanced resolution

Rencheng Song, Rui Chen, and Xudong Chen
J. Opt. Soc. Am. A 29(9) 1900-1905 (2012)