Detail publikace

Microwave Imaging Using Optimization with Variable Number of Dimensions

KADLEC, P. MAREK, M.

Originální název

Microwave Imaging Using Optimization with Variable Number of Dimensions

Anglický název

Microwave Imaging Using Optimization with Variable Number of Dimensions

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@article{BUT166275,
  author="Petr {Kadlec} and Martin {Marek}",
  title="Microwave Imaging Using Optimization with Variable Number of Dimensions",
  annote="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.",
  address="IEEE",
  chapter="166275",
  doi="10.1109/TCI.2020.3041957",
  howpublished="online",
  institution="IEEE",
  number="1",
  volume="6",
  year="2021",
  month="january",
  pages="1586--1594",
  publisher="IEEE",
  type="journal article in Web of Science"
}