Wavelet-like efficient analysis of two dimensional arbitrarily shaped radomes using a surface formulation
View/ Open
Share
Statistics
View Usage StatisticsMetadata
Show full item recordAuthor
Quesada Pereira, Fernando Daniel; Vidal Pantaleoni, Ana; Boria Esbert, Vicente Enrique; Álvarez Melcón , Alejandro; Gimeno Martínez, BenitoResearch Group
Grupo de Electromagnetismo Aplicado a las Telecomunicaciones (GEAT)Knowledge Area
Teoría de la Señal y las ComunicacionesSponsors
This work has been supported by Ministerio de Educación y Ciencia, Spanish Government, under the Research Projects Ref. TEC2004/04313-C02-01 and TEC2004/04313-C02-02.Publication date
2007-09Publisher
American Geophysical Union (AGU)Bibliographic Citation
Quesada-Pereira, F. D., A. Vidal, V. E. Boria, A. Álvarez-Melcón, and B. Gimeno (2007). Wavelet-like efficient analysis of two-dimensional arbitrarily shaped radomes using a surface formulation, Radio Science, 42, RS5003, doi:10.1029/2006RS003522.Keywords
WaveletsElectromagnetic Analysis
Antennas
Radomes
Abstract
Radomes are usually made of lossy dielectric materials, and their accurate analysis is often cumbersome because of their typical large electrical size and geometrical complexity. In real reflector antenna structures, there are always complex interactions between the radome, the reflector surfaces and the directional feeds, which are typically neglected for the sake of simplicity. In this paper we will consider all such interactions in a very accurate way, thus requiring a high number of unknowns for the numerical solution of the problem. To overcome such drawback, an integral equation formulation based on the Equivalence Principle in combination with the wavelet transform has been employed, obtaining finally a robust and accurate CAD tool for the rigorous analysis of arbitrarily shaped radomes containing continuous and discrete electromagnetic sources. It will be shown that the use of wavelet-like bases substantially improves the numerical efficiency and memory requirements of the original ...
Collections
- Artículos [1752]
The following license files are associated with this item:
Social media