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This paper presents a modified methodology to compute the phase center of planar antennas. It is especially well suited for low-profile geometries without axial symmetry that are currently being proposed as feeder systems for Ka-band lens antennas. By taking into account new features, such as large spherical surface consideration and dual electric field components, this modified algorithm results...
This paper describes the accurate characterization of the reflection coefficients of a multilayered reflectarray element by means of artificial neural networks. The procedure has been tested with different RA elements related to actual specifications. Up to 9 parameters were considered and the complete reflection coefficient matrix was accurately obtained, including cross polar reflection coefficients...
The design of a reflectarray for satellite applications is accomplished in this letter. The use of full-wave electromagnetic methods to compute the reflectarray elements in the design process has been replaced by the characterization of the reflectarray elements by artificial neural networks (ANNs). The antenna is designed to provide coverage in Ku-band to a European region defined by EuTELSAT. The...
In this paper, artificial neural networks (ANNs) for modelling reflectarray periodic element is evaluated. A reflectarray antenna based on a 3-layer stacked patch element is chosen. Every element in the reflectarray must shift the phase of the reflection coefficient a given amount to obtain the prescribed radiation diagram. Different shifts are obtained from different geometrical configuration of...
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