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), 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.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2024-09-20
DOI
https://doi.org/10.1109/tap.2024.3455794
Citations
5
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
6.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Guangda Chen, Qunbiao Wang, Shufei Feng, Xuechao Duan et al.
5 citations
IEEE Transactions on Antennas and Propagation
Antenna Design and Optimization
6.49
article

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

Guangda Chen, Qunbiao Wang, Shufei Feng, Xuechao Duan, Guodong Tan, Dongwu Yang, Paolo Rocca
article en
5 citations

Abstract

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.

IEEE Transactions on Antennas and PropagationVol. 72(11)
Xidian University (CN), University of Trento (IT), Dongguan University of Technology (CN)
National Natural Science Foundation of China, Natural Science Basic Research Program of Shaanxi Province, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 4%
Antenna Design and Optimization
6.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Heuristic Best-Fitting-Paraboloid Method for Gravity-Distorted Reflector Antennas — Guangda Chen, Qunbiao Wang, et al. · IEEE Transactions on Antennas and Propagation (2024) | TGRS Research Map | TGRS