Microwave Imaging Using Optimization with Variable Number of Dimensions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU137998" target="_blank" >RIV/00216305:26220/21:PU137998 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9276454" target="_blank" >https://ieeexplore.ieee.org/document/9276454</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TCI.2020.3041957" target="_blank" >10.1109/TCI.2020.3041957</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Microwave Imaging Using Optimization with Variable Number of Dimensions

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Microwave Imaging Using Optimization with Variable Number of Dimensions

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/GA20-01090S" target="_blank" >GA20-01090S: Interakce pulsního EM pole s tenkovrstvými strukturami</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Computational Imaging

ISSN

2333-9403

e-ISSN

—

Svazek periodika

6

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

1586-1594

Kód UT WoS článku

000600284800003

EID výsledku v databázi Scopus

2-s2.0-85097373360