{"title":"基于等效电路和MOPSO算法的FSS设计","authors":"Yaxi Pan, Jian Dong","doi":"10.1109/IWS55252.2022.9977651","DOIUrl":null,"url":null,"abstract":"In this paper, a design method of frequency selective surface (FSS) using an equivalent circuit (EC) and multi-objective particle swarm optimization (MOPSO) algorithm is proposed in this paper. The EC with the desired frequency response is established first. Then the initial structure is determined based on the EC and building blocks. Finally, the structure parameters are optimized using the MOPSO algorithm. It was applied to the triple pass-band FSS, and the analysis of the results shows that such the global scan method can obtain the target FSS more swiftly and accurately.","PeriodicalId":126964,"journal":{"name":"2022 IEEE MTT-S International Wireless Symposium (IWS)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of FSS Using Equivalent Circuit and MOPSO algorithm\",\"authors\":\"Yaxi Pan, Jian Dong\",\"doi\":\"10.1109/IWS55252.2022.9977651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a design method of frequency selective surface (FSS) using an equivalent circuit (EC) and multi-objective particle swarm optimization (MOPSO) algorithm is proposed in this paper. The EC with the desired frequency response is established first. Then the initial structure is determined based on the EC and building blocks. Finally, the structure parameters are optimized using the MOPSO algorithm. It was applied to the triple pass-band FSS, and the analysis of the results shows that such the global scan method can obtain the target FSS more swiftly and accurately.\",\"PeriodicalId\":126964,\"journal\":{\"name\":\"2022 IEEE MTT-S International Wireless Symposium (IWS)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE MTT-S International Wireless Symposium (IWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWS55252.2022.9977651\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Wireless Symposium (IWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWS55252.2022.9977651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of FSS Using Equivalent Circuit and MOPSO algorithm
In this paper, a design method of frequency selective surface (FSS) using an equivalent circuit (EC) and multi-objective particle swarm optimization (MOPSO) algorithm is proposed in this paper. The EC with the desired frequency response is established first. Then the initial structure is determined based on the EC and building blocks. Finally, the structure parameters are optimized using the MOPSO algorithm. It was applied to the triple pass-band FSS, and the analysis of the results shows that such the global scan method can obtain the target FSS more swiftly and accurately.