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.
Original language | English |
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Title of host publication | 2020 Asia-Pacific Microwave Conference, APMC 2020 - Proceeding |
Editors | Jie Sun, Wai Ho Yu |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1057-1059 |
Number of pages | 3 |
ISBN (Electronic) | 9781728169620 |
DOIs | |
Publication status | Published - 8 Dec 2020 |
Event | 2020 Asia-Pacific Microwave Conference, APMC 2020 - Virtual, Hong Kong, Hong Kong Duration: 8 Dec 2020 → 11 Dec 2020 |
Publication series
Name | Asia-Pacific Microwave Conference Proceedings, APMC |
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Volume | 2020-December |
Conference
Conference | 2020 Asia-Pacific Microwave Conference, APMC 2020 |
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Country/Territory | Hong Kong |
City | Virtual, Hong Kong |
Period | 8/12/20 → 11/12/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Newton methods
- inverse scattering
- microwave imaging
- quantitative techniques