A. Boursianis, M. Salucci, S. Koulouridis, A. Georgiadis, M. Tentzeris, S. Goudos
{"title":"基于Harris Hawks优化的双频选择性表面设计","authors":"A. Boursianis, M. Salucci, S. Koulouridis, A. Georgiadis, M. Tentzeris, S. Goudos","doi":"10.1109/MOCAST52088.2021.9493382","DOIUrl":null,"url":null,"abstract":"Frequency Selective Surfaces (FSSs) are periodic structures that are designed to reflect, absorb or transmit electromagnetic fields in a variable frequency range. Their performance is strongly dependent on their fundamental structure, i.e. the unit cell. In this paper, we exploit the characteristic of absorption to design a dual-band FSS suitable for indoor RF energy harvesting systems. We combine an optimization technique by utilizing the Harris Hawk Optimization (HHO) algorithm and a high-frequency electromagnetic solver to optimize the geometry of the unit cell and the overall FSS. The proposed system operates in the frequency bands of Wi-Fi 2.4 GHz and Wi-Fi 5 GHz. Numerical results demonstrate that the optimized FSS exhibits quite satisfactory results and makes it a suitable candidate for RF energy harvesting applications.","PeriodicalId":146990,"journal":{"name":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Dual-Band Frequency Selective Surface Design Using Harris Hawks Optimization\",\"authors\":\"A. Boursianis, M. Salucci, S. Koulouridis, A. Georgiadis, M. Tentzeris, S. Goudos\",\"doi\":\"10.1109/MOCAST52088.2021.9493382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Frequency Selective Surfaces (FSSs) are periodic structures that are designed to reflect, absorb or transmit electromagnetic fields in a variable frequency range. Their performance is strongly dependent on their fundamental structure, i.e. the unit cell. In this paper, we exploit the characteristic of absorption to design a dual-band FSS suitable for indoor RF energy harvesting systems. We combine an optimization technique by utilizing the Harris Hawk Optimization (HHO) algorithm and a high-frequency electromagnetic solver to optimize the geometry of the unit cell and the overall FSS. The proposed system operates in the frequency bands of Wi-Fi 2.4 GHz and Wi-Fi 5 GHz. Numerical results demonstrate that the optimized FSS exhibits quite satisfactory results and makes it a suitable candidate for RF energy harvesting applications.\",\"PeriodicalId\":146990,\"journal\":{\"name\":\"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)\",\"volume\":\"177 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MOCAST52088.2021.9493382\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MOCAST52088.2021.9493382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dual-Band Frequency Selective Surface Design Using Harris Hawks Optimization
Frequency Selective Surfaces (FSSs) are periodic structures that are designed to reflect, absorb or transmit electromagnetic fields in a variable frequency range. Their performance is strongly dependent on their fundamental structure, i.e. the unit cell. In this paper, we exploit the characteristic of absorption to design a dual-band FSS suitable for indoor RF energy harvesting systems. We combine an optimization technique by utilizing the Harris Hawk Optimization (HHO) algorithm and a high-frequency electromagnetic solver to optimize the geometry of the unit cell and the overall FSS. The proposed system operates in the frequency bands of Wi-Fi 2.4 GHz and Wi-Fi 5 GHz. Numerical results demonstrate that the optimized FSS exhibits quite satisfactory results and makes it a suitable candidate for RF energy harvesting applications.