Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66302
Title: Postprocessing of the linear sampling method in inverse electromagnetic scattering problem for obstacles
Authors: Liu, L
Fu, WN
Niu, SX
Keywords: Curvature
Inverse scattering
Linear sampling method
Moving least square method
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation, 2016, 7816161 How to cite?
Abstract: The linear sampling method is known to be a simple and computationally efficient approach to retrieve the support of the scatterer using multistatic scattered field data. However, the recovered profile is always misleading, owing to the lack of robust edge detecting. This paper addresses this open issue. Using moving least square approximation, the upper and lower bounds of the profile of scatterers are pursued, and a sweeping process finds the optimal profile to match the scattered field data.
Description: 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016, Miami, US, 13-16 November 2016
URI: http://hdl.handle.net/10397/66302
ISBN: 9781509010325
DOI: 10.1109/CEFC.2016.7816161
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

13
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.