Publication detail

Microwave Imaging Using Optimization with Variable Number of Dimensions

KADLEC, P. MAREK, M.

Original Title

Microwave Imaging Using Optimization with Variable Number of Dimensions

Type

journal article in Web of Science

Language

English

Original Abstract

The solution to the microwave imaging problem is often provided by systems that employ global optimization methods that search for material properties of the selected investigation domain. A novel method for the solution of the microwave imaging problem based on the optimization with a variable number of dimensions is introduced in this paper. Shapes of scatterers with an arbitrary complexity can be coded in the form of decision space vectors with varying sizes. The variable number of dimensions formulation of the problem is compared to a conventional approach that uses a regular grid of sub-domains and the optimization algorithm then searches for material properties of individual sub-regions. The influence of the investigation domain parameters like the signal to noise ratio of the measured field, or scatterer$'$s material properties on the stability of the method is discussed in the paper.

Keywords

Microwave Imaging, Particle Swarm Optimization, Variable Number of Dimensions

Authors

KADLEC, P.; MAREK, M.

Released

8. 1. 2021

Publisher

IEEE

Location

Los Alamos, USA

ISBN

2333-9403

Periodical

IEEE Transactions on Computational Imaging

Year of study

6

Number

1

State

United States of America

Pages from

1586

Pages to

1594

Pages count

9

URL

https://ieeexplore.ieee.org/document/9276454

BibTex

@article{BUT166275,
  author="Petr {Kadlec} and Martin {Marek}",
  title="Microwave Imaging Using Optimization with Variable Number of Dimensions",
  journal="IEEE Transactions on Computational Imaging",
  year="2021",
  volume="6",
  number="1",
  pages="1586--1594",
  doi="10.1109/TCI.2020.3041957",
  issn="2333-9403",
  url="https://ieeexplore.ieee.org/document/9276454"
}