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Modeling of Microwave Cavities Based on SIBC-FDTD Method for EM Wave Focalization by TR Technique, Journal of Telecommunications and Information Technology, 2022, nr 3
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Title: Modeling of Microwave Cavities Based on SIBC-FDTD Method for EM Wave Focalization by TR Technique, Journal of Telecommunications and Information Technology, 2022, nr 3

Creator:

Aimer, Younes ; Bouazza, Tayeb H. C. ; Li, Zhigang

Date:

2022, nr 3

Resource Type:

artykuł

Description:

The time reversal (TR) techniques used in electromagnetics have been limited for a variety of reasons, including extensive computations, complex modeling and simulation, processes as well as, large-scale numerical analysis. In this paper, the SIBC-FDTD method is applied to address these issues and to efficiently model TR systems. An original curvilinear modeling method is also proposed for constructing various obstacles in a 2D microwave cavity and for processing the corners of the cavity. The EM waves’ spatio-temporal focalization has been realized, and results of the simulations further prove the accuracy and effectiveness of this modeling method. Furthermore, they demonstrate that the microwave cavity processes may significantly improve the focalization quality in terms of SSLL enhancement.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2238

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

EM waves focalization curvilinear modeling TR technique SIBCFDTD method

Object collections:

Last modified:

Mar 13, 2024

In our library since:

Feb 7, 2023

Number of object content hits:

27

All available object's versions:

https://bc.itl.waw.pl/publication/2547

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Edition name Date
Aimer, Younes, Modeling of Microwave Cavities Based on SIBC-FDTD Method for EM Wave Focalization by TR Technique, Journal of Telecommunications and Information Technology, 2022, nr 3 Mar 13, 2024

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