The role of regularization parameter of subspace-based optimization method in solving inverse scattering problems

Xiuzhu Ye*, Xudong Chen

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

This paper investigates a regularization scheme in the recently proposed subspace-based optimization method for solving inverse scattering problems. The number of leading singular values of a current-to-field mapping operator is found to balance the accuracy and the stability of the solution. If the number of leading singular values is chosen as a large number, the noise is amplified in the inverse process. On the other hand, if this parameter is chosen to be a small number, the convergence of the optimization method will be slow. This paper investigates the method of choosing the number of leading singular values of the current-to-field mapping operator.

Original languageEnglish
Title of host publicationAPMC 2009 - Asia Pacific Microwave Conference 2009
Pages1549-1552
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventAsia Pacific Microwave Conference 2009, APMC 2009 - Singapore, Singapore
Duration: 7 Dec 200910 Dec 2009

Publication series

NameAPMC 2009 - Asia Pacific Microwave Conference 2009

Conference

ConferenceAsia Pacific Microwave Conference 2009, APMC 2009
Country/TerritorySingapore
CitySingapore
Period7/12/0910/12/09

Keywords

  • Ill condition
  • Inverse scattering
  • Regularization

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