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.
Original language | English |
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Title of host publication | IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation |
Publisher | IEEE |
ISBN (Electronic) | 9781509010325 |
DOIs | |
Publication status | Published - 12 Jan 2017 |
Event | 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Hotel Hilton Miami Downtown, Miami, United States Duration: 13 Nov 2016 → 16 Nov 2016 |
Conference
Conference | 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 |
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Country/Territory | United States |
City | Miami |
Period | 13/11/16 → 16/11/16 |
Keywords
- Curvature
- Inverse scattering
- Linear sampling method
- Moving least square method
ASJC Scopus subject areas
- Computational Mathematics
- Instrumentation
- Electrical and Electronic Engineering