Microwave tomographic imaging of dielectric objects using Newton-Kantorovich Algorithms

Z. Wu*, H. McCann, L. E. Davis, A. Boughriet, A. T. Nugroho

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

An existing Newton-Kantorovich (NK) algorithm and a new Modified Newton-Kantorovich (MNK) algorithm are described for image reconstruction of dielectric objects. The reconstructed images using simulation and experimental data are also presented. The simulation results show that images of dielectric objects can be well reconstructed using both algorithms when the dielectric contrast, with respect to air, is relatively low. However, the MNK algorithm has a higher contrast limit and converges faster. The experimental study of a dielectric object at 2.45GHz using 16x16 views shows that the image of the experimental model can be well reconstructed using the MNK algorithm.

Original languageEnglish
Title of host publication2nd World Congress on Industrial Process Tomography
PublisherInternational Society for Industrial Process Tomography
Pages477-483
Number of pages7
ISBN (Print)9780853163183
Publication statusPublished - 1 Jan 2014
Event2nd World Congress on Industrial Process Tomography - Hannover, United Kingdom
Duration: 29 Aug 200131 Aug 2001

Conference

Conference2nd World Congress on Industrial Process Tomography
Country/TerritoryUnited Kingdom
CityHannover
Period29/08/0131/08/01

Keywords / Materials (for Non-textual outputs)

  • Algorithm
  • Imaging
  • Microwave
  • Tomography

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