An Inversion Algorithm to Reconstruct Star-Like Penetrable Objects from Scattered Far-Field Pattern

Ahmet Sefer, Hakan Bagci

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

Abstract

An iterative inversion algorithm to reconstruct the shape of two-dimensional dielectric objects from far-field measurements is formulated and implemented. The proposed method uses an integral operator to map the unknown boundary of the object onto the far-field pattern of the scattered field. This mapping is inherently ill-posed and nonlinear. Therefore, Newton iterations are used for linearization, and the resulting linear equation at each iteration is regularized using a Tikhonov scheme. Numerical results validate the accuracy and the applicability of the proposed method.

Original languageEnglish (US)
Title of host publication2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages433-434
Number of pages2
ISBN (Electronic)9798350369908
DOIs
StatePublished - 2024
Event2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Florence, Italy
Duration: Jul 14 2024Jul 19 2024

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)1522-3965

Conference

Conference2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024
Country/TerritoryItaly
CityFlorence
Period07/14/2407/19/24

Keywords

  • Inverse electromagnetic scattering
  • Newton's algorithm
  • shape reconstruction
  • surface integral equations

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'An Inversion Algorithm to Reconstruct Star-Like Penetrable Objects from Scattered Far-Field Pattern'. Together they form a unique fingerprint.

Cite this