Please use this identifier to cite or link to this item: https://doi.org/11/115004
Title: A multi-dimensional sampling method for locating small scatterers
Authors: Song, R.
Zhong, Y. 
Chen, X. 
Issue Date: Nov-2012
Source: Song, R.,Zhong, Y.,Chen, X. (2012-11). A multi-dimensional sampling method for locating small scatterers. Inverse Problems 28 (11) : -. ScholarBank@NUS Repository. https://doi.org/11/115004
Abstract: A multiple signal classification (MUSIC)-like multi-dimensional sampling method (MDSM) is introduced to locate small three-dimensional scatterers using electromagnetic waves. The indicator is built with the most stable part of signal subspace of the multi-static response matrix on a set of combinatorial sampling nodes inside the domain of interest. It has two main advantages compared to the conventional MUSIC methods. First, the MDSM is more robust against noise. Second, it can work with a single incidence even for multi-scatterers. Numerical simulations are presented to show the good performance of the proposed method. © 2012 IOP Publishing Ltd.
Source Title: Inverse Problems
URI: http://scholarbank.nus.edu.sg/handle/10635/54448
ISSN: 02665611
DOI: 11/115004
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