Heuristic Best-Fitting-Paraboloid Method for Gravity-Distorted Reflector Antennas

This article presents a heuristic best-fitting-paraboloid (BFPH) method, tailored for reflector antennas subject to gravitational distortion. First, the best fitting problem is formulated a nonlinear least-squares problem (NLSP) for the distorted reflector, wherein three heuristic rules (DRs), cruci...

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Veröffentlicht in:IEEE transactions on antennas and propagation 2024-11, Vol.72 (11), p.8215-8227
Hauptverfasser: Tan, Guodong, Wang, Qunbiao, Rocca, Paolo, Duan, Xuechao, Yang, Dongwu, Feng, Shufei, Chen, Guangda
Format: Artikel
Sprache:eng
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Zusammenfassung:This article presents a heuristic best-fitting-paraboloid (BFPH) method, tailored for reflector antennas subject to gravitational distortion. First, the best fitting problem is formulated a nonlinear least-squares problem (NLSP) for the distorted reflector, wherein three heuristic rules (DRs), 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.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2024.3455794