A Fast Proximal Gradient Algorithm to Solve Electromagnetic Inverse Scattering Problems

Up until now, many methods have been applied in electromagnetic inverse scattering problems (ISPs). In this paper, we propose three methods to solve it using the proximal gradient algorithm (PGA) based on the Born approximation. The numerical results validate that the PGA with subspace Born iterativ...

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Bibliographic Details
Published in:	2019 Computing, Communications and IoT Applications (ComComAp) pp. 402 - 404
Main Authors:	Ma, Zhenchao, Xu, Kuiwen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2019
Subjects:	Born approximation Born iterative approximation inverse scattering problems (ISPs) proximal gradient algorithm (PGA) subspace Born iterative approximation
Online Access:	Get full text
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Summary:	Up until now, many methods have been applied in electromagnetic inverse scattering problems (ISPs). In this paper, we propose three methods to solve it using the proximal gradient algorithm (PGA) based on the Born approximation. The numerical results validate that the PGA with subspace Born iterative approximation does well in retrieving the unknown scatterers and the retrieval value is more accurate comparing to the PGA with Born approximation and Born iterative approximation.
DOI:	10.1109/ComComAp46287.2019.9018664