Please use this identifier to cite or link to this item: https://doi.org/8/085003
Title: Twofold subspace-based optimization method for solving inverse scattering problems
Authors: Zhong, Y. 
Chen, X. 
Issue Date: 2009
Source: Zhong, Y.,Chen, X. (2009). Twofold subspace-based optimization method for solving inverse scattering problems. Inverse Problems 25 (8) : -. ScholarBank@NUS Repository. https://doi.org/8/085003
Abstract: In this paper, we propose a twofold subspace-based optimization method to tackle the problem of determining the dielectric profile of extended scatterers. Based on the recently reported subspace-based optimization method, we further analyze the spectral property of the current-to-field mapping operator inside the domain of interest. By using this property, we find that it is possible to firstly restrict the induced current in some lower-dimensional subspace to efficiently generate a meaningful profile that could be used as the initial guess of the next step's optimization with a higher-dimensional current subspace. Such a scheme dramatically boosts the convergence rate of the optimization compared to the original subspace-based optimization method. Numerical simulations validate the twofold method and meanwhile show that it is quite robust against noise. © 2009 IOP Publishing Ltd.
Source Title: Inverse Problems
URI: http://scholarbank.nus.edu.sg/handle/10635/57732
ISSN: 02665611
DOI: 8/085003
Appears in Collections:Staff Publications

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