Improved Shaping of Reflector Antennas using a New Minimax Initialization Strategy

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Abstract

Numerical optimization is an essential part of the design process when shaping a contoured beam reflector antenna to produce a required coverage. The minimax formulation that has been used for decades generally results in a nonconvex problem, and since the evaluation of a design is costly, local optimization is typically used in practice. An inherent challenge with the minimax formulation is that it often leads to multiple local minima As a result, the quality of the final design obtained via local optimization depends strongly on the initial design.To address the sensitivity to the initial design, we investigate the use of initialization based on a different problem formulation. In particular, we first solve a one-sided nonlinear least-squares problem to improve an initial design, and the resulting design is then used as initialization of a minimax algorithm. We use this strategy to shape a reflector antenna starting from different initial shapes, and our results show that the initialization strategy improves the coverage with five out of six initial guesses.
Original languageEnglish
Title of host publicationProceedings of 2018 International Applied Computational Electromagnetics Society Symposium
Number of pages2
PublisherIEEE
Publication date2018
DOIs
Publication statusPublished - 2018
Event2018 International Applied Computational Electromagnetics Society Symposium - Embassy Suites by Hilton, Denver Tech Center, Denver, United States
Duration: 25 Mar 201829 Mar 2018

Conference

Conference2018 International Applied Computational Electromagnetics Society Symposium
LocationEmbassy Suites by Hilton, Denver Tech Center
CountryUnited States
CityDenver
Period25/03/201829/03/2018

Cite this

Eltved, A., Andersen, M. S., & Borries, O. (2018). Improved Shaping of Reflector Antennas using a New Minimax Initialization Strategy. In Proceedings of 2018 International Applied Computational Electromagnetics Society Symposium IEEE. https://doi.org/10.23919/ROPACES.2018.8364326