Inverse Scattering Imaging using Multifrequency Data based on Modified Born Approximation Method

Xinhui Zhang, Xiuzhu Ye

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Inverse scattering imaging faces serious ill-posedness due to the limited available scattered field data. To improve the ill-posedness of the inverse problems, a cost function for processing multifrequency data is defined, and the multifrequency scattered field data is jointly processed to solve the inversion imaging of frequency-independent dielectric targets. The modified born approximation (MBA) is adopted as an imaging method because it can image targets with high contrast without iteration. Finally, numerical results indicate that compared to inversion results using single-frequency data, using dual-frequency scattered field data not only reduces reconstruction error but also improves imaging resolution.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350383317
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024 - Nanjing, China
Duration: 15 Apr 202417 Apr 2024

Publication series

Name2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024 - Proceedings

Conference

Conference2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024
Country/TerritoryChina
CityNanjing
Period15/04/2417/04/24

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Zhang, X., & Ye, X. (2024). Inverse Scattering Imaging using Multifrequency Data based on Modified Born Approximation Method. In 2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024 - Proceedings (2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCEM60619.2024.10559200