We present an automated approach to design a high performance, tunable frequency selective surface (FSS). The main goal of this study is to provide the simultaneous optimization of the FSS structure in two states of the 4 incorporated varactors, aiming to get an acceptable polarization filtering and polarization control. Generally, microwave designs are dealing with a large amount of data and they depend on the engineer's experiences. In order to get rid of this dependency and providing a ready-to-fabricate layout, we propose an optimization-oriented method based on the random optimization (RO). The RO method is applied in an automated environment where HFSS and Matlab are collaborating together forming a co-simulation platform where the design parameters are optimized up to achieve suitable output performances.
Tunable Frequency Selective Surface Design Using Automated Random Optimization / Mir, F.; Kouhalvandi, L.; Matekovits, L.. - ELETTRONICO. - (2021), pp. 1-4. ((Intervento presentato al convegno 34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021 tenutosi a Rome, Italy nel 28 Aug.-4 Sept. 2021 [10.23919/URSIGASS51995.2021.9560483].
Titolo: | Tunable Frequency Selective Surface Design Using Automated Random Optimization | |
Autori: | ||
Data di pubblicazione: | 2021 | |
Abstract: | We present an automated approach to design a high performance, tunable frequency selective surfac...e (FSS). The main goal of this study is to provide the simultaneous optimization of the FSS structure in two states of the 4 incorporated varactors, aiming to get an acceptable polarization filtering and polarization control. Generally, microwave designs are dealing with a large amount of data and they depend on the engineer's experiences. In order to get rid of this dependency and providing a ready-to-fabricate layout, we propose an optimization-oriented method based on the random optimization (RO). The RO method is applied in an automated environment where HFSS and Matlab are collaborating together forming a co-simulation platform where the design parameters are optimized up to achieve suitable output performances. | |
ISBN: | 978-9-4639-6-8027 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11583/2948786