Design of a Dielectric Radome using a Ray-Tracing Model for Satellite Communications

Detta är en Master-uppsats från KTH/Skolan för elektroteknik och datavetenskap (EECS)

Sammanfattning: In recent years, there has been a huge increase in the use of satellite communications. This has led to a need for more capacity, which can be solved by moving towards higher frequency bands in search of higher bandwidths. However, the use of higher frequencies entails higher link losses, which makes it essential to use highly directional and steerable antennas. Traditionally, phased array antennas have been used for this kind of application. Nevertheless, they have a limitation in the maximum scan angle due to their effective aperture, which causes a gain reduction following the cosine of the scanning angle. A way of improving the scan range is to add a dielectric radome on top of the array. However, high computational times are needed to simulate this kind of structure using full-wave simulations. For this reason, the first part of this work is focused on adapting and improving an in-house Ray Tracing tool for the particular application under study. The tool computes the path the rays follow from the array to the aperture of the radome using geometric optics, then calculates the amplitude of the electric field at the aperture using ray tube theory, and finally determines the antenna’s radiation pattern using Kirchhoff’s diffraction formula. Moreover, some features have been added to the code to be able to compute the directivity, calculate the absorption and reflection losses, simulate multilayer radomes, and change the array elements’ radiation patterns. A model in Comsol has been developed to validate the results obtained using the Ray Tracing tool and all its added features. Finally, several optimizations have been carried out to increase the scanning range while maintaining a maximum height, and ensuring it complies with the regulatory masks for satellite communications. The optimizations have been performed both using a Particle Swarm Optimizer and manually.

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