ABSTRACT
The multi-objective design of concentric ring antenna arrays for isoflux radiation for Geostationary Earth Orbit (GEO) and Medium Earth Orbit (MEO) satellites is presented in this paper. This design of concentric ring antenna arrays considers the optimization of the spacing between rings and the amplitude excitation across the antenna elements in order to generate the trade-off curves between the side lobe level (SLL) and the isoflux mask error. In order to use fewer levels of excitations to diminish the hardware complexity, a concentric excitation is considered across the antenna array. Simulation results applying a differential evolution multi-objective (DEMO) optimization method are provided in this document. Furthermore, an analysis of the trade-off curve between the SLL and the isoflux mask error is achieved.
Acknowledgements
This work was supported by the Mexican National Science and Technology Council, CONACyT, under grant 127919.
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No potential conflict of interest was reported by the authors.
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Notes on contributors
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Miguel Ibarra
Miguel Ibarra is a PhD student at the Autonomous University of Baja California (UABC), Mexicali, Mexico. In 2011, he received a MSc in Electrical and Electronic Engineering from the Autonomous University of Tamaulipas. His current research interests include antennas, array beam forming, computational electromagnetic, design, analysis, and optimization of antennas through different evolutionary algorithms.
E-mail: [email protected]
![](/cms/asset/4377f36f-f598-4cb8-bdee-c2f4be6d9cac/titr_a_1049222_uf0002_oc.jpg)
Marco A. Panduro
Marco A. Panduro received the MSc degree in Electronics of High Frequency and the PhD degree in Electronics and Telecommunications from the CICESE Research Center in Ensenada, BC, Mexico, in 2001 and 2004, respectively. Since 2005, he has been a Professor and Member of the Scientific Staff of the Electronics Communications Department at UAT Mexico. His current interests include antenna arrays, smart adaptive antennas, microwave devices, and optimization via different evolutionary algorithms.
E-mail: [email protected]
![](/cms/asset/c81a58ff-2f9f-42f1-850e-033adb286df4/titr_a_1049222_uf0003_b.gif)
Angel G. Andrade
Ángel G. Andrade is a full professor in the Department of Electrical Engineering at University of Baja California, Mexico. He received his MSc and PhD degrees in Electrical and Telecommunications Engineering from the CICESE Center Research, Ensenada, Mexico, in 1998 and 2005, respectively. Dr Andrade's current research interests include design, analysis, and optimization of wireless/mobile communications networks and cognitive radio systems.
E-mail: [email protected]