A Modified Newton Method Formulation for Microwave Imaging

Loading...

Date

Journal Title

Journal ISSN

Volume Title

Publisher

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

relationships.isProjectOf

relationships.isJournalIssueOf

Abstract

A new variant of Newton type methods has been developed for quantitative microwave imaging. To deal with the ill-posedness of the inverse problems, standard Newton type methods involve a linearization of the so called data equation using the Fréchet derivative with respect to the contrast function. Here, the formulation is expanded to include the object equation, therefore, the formulation seeks to reduce the errors in both the data and the object equations. While this modification does not remove the need to solve forward problem at each step, it nevertheless significantly improves convergence rate and the performance. To assess the efficiency of the proposed technique, numerical simulations with synthetic and experimental data have been carried out. The results demonstrate that the proposed variant outperforms the standard Newton method, and shows comparable performance to the contrast source inversion (CSI) algorithm with fewer iterations.

Description

Keywords

Imaging systems, Newton methods, Quantitative techniques, Newton-raphson method, Inverse scattering, Microwaves, Microwave imaging

Fields of Science

0101 mathematics, 01 natural sciences

Citation

Bilgin, E., Dogu, S., Cosgun, S., & Cayoren, M., (December 08, 2020). A Modified Newton Method Formulation for Microwave Imaging. IEEE Asia-Pacific Microwave Conference (APMC 2020). 1057-1059.

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
N/A

Volume

2020-December

Issue

Start Page

1057

End Page

1059
PlumX Metrics
Citations

Scopus : 0

Web of Science™ Citations

1

checked on May 21, 2026

Page Views

227

checked on May 21, 2026

Downloads

587

checked on May 21, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.0867

Sustainable Development Goals

SDG data is not available