Y. Xiong, S. Caizzone, C. Occhiuzzi, G. Marrocco, G. Vecchi, M. Orefice
{"title":"多芯片RFID标签的自动优化","authors":"Y. Xiong, S. Caizzone, C. Occhiuzzi, G. Marrocco, G. Vecchi, M. Orefice","doi":"10.1109/RFID.2012.21","DOIUrl":null,"url":null,"abstract":"The automatic optimization is proposed of the passive RF part of RFID, with special attention to multi-chip tags, and to the novel concept of RFID grids. Performance metrics follows a recent all-comprehensive approach. The proposed approach employs a Genetic Algorithm-based optimization, and an efficient electromagnetic problem parameterization and solution strategy. Resulting structures, while non-intuitive in shape, exhibit enhanced performance.","PeriodicalId":196995,"journal":{"name":"2012 Fourth International EURASIP Workshop on RFID Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automatic Optimization of Multichip RFID Tags\",\"authors\":\"Y. Xiong, S. Caizzone, C. Occhiuzzi, G. Marrocco, G. Vecchi, M. Orefice\",\"doi\":\"10.1109/RFID.2012.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The automatic optimization is proposed of the passive RF part of RFID, with special attention to multi-chip tags, and to the novel concept of RFID grids. Performance metrics follows a recent all-comprehensive approach. The proposed approach employs a Genetic Algorithm-based optimization, and an efficient electromagnetic problem parameterization and solution strategy. Resulting structures, while non-intuitive in shape, exhibit enhanced performance.\",\"PeriodicalId\":196995,\"journal\":{\"name\":\"2012 Fourth International EURASIP Workshop on RFID Technology\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International EURASIP Workshop on RFID Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RFID.2012.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International EURASIP Workshop on RFID Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFID.2012.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The automatic optimization is proposed of the passive RF part of RFID, with special attention to multi-chip tags, and to the novel concept of RFID grids. Performance metrics follows a recent all-comprehensive approach. The proposed approach employs a Genetic Algorithm-based optimization, and an efficient electromagnetic problem parameterization and solution strategy. Resulting structures, while non-intuitive in shape, exhibit enhanced performance.
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