Heuristic Best-Fitting-Paraboloid Method for Gravity-Distorted Reflector Antennas
This paper presents a heuristic best-fitting-paraboloid method (BFPH), tailored for reflector antennas subject to gravitational distortion. Firstly, the best fitting problem is formulated a nonlinear least-squares problem (NLSP) for the distorted reflector, wherein three heuristic rules, crucial for...
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Published in | IEEE transactions on antennas and propagation p. 1 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
20.09.2024
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Subjects | |
Online Access | Get full text |
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Summary: | This paper presents a heuristic best-fitting-paraboloid method (BFPH), tailored for reflector antennas subject to gravitational distortion. Firstly, the best fitting problem is formulated a nonlinear least-squares problem (NLSP) for the distorted reflector, wherein three heuristic rules, crucial for the problem at hand, are derived based on two typical distortion modes observed in antennas. Then, a suitable optimization algorithm is employed to solve the NLSP, in which a customized strategy is developed for the definition of the initial value in order to guarantee effective and reliable final solutions. A set of numerical results are reported and discussed to demonstrate the superior performance of the BFPH method in comparison to existing state-of-the-art methods. More specifically, it supplies higher antenna gain, reduced pointing error, enhanced robustness, and better symmetry in the far-field pattern. |
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ISSN: | 0018-926X 1558-2221 |
DOI: | 10.1109/TAP.2024.3455794 |