Francesco Lestini;Gaetano Marrocco;Cecilia Occhiuzzi
{"title":"Modeling and Design of RFID-Controlled Binary-Reconfigurable Frequency Selective Surfaces","authors":"Francesco Lestini;Gaetano Marrocco;Cecilia Occhiuzzi","doi":"10.1109/JRFID.2025.3643593","DOIUrl":null,"url":null,"abstract":"Radiofrequency Identification (RFID) technology is entering its third generation, extending beyond identification and sensing toward the control of electromagnetic (EM) functions. Recent studies have demonstrated the feasibility of RFID-controlled antennas, metasurfaces, and intelligent surfaces, where standard RFID Integrated Circuits (ICs) act as wireless, battery-free controllers. Within this family, Frequency Selective Surfaces (FSSs) represent a particularly demanding case, since their narrowband resonant response must be precisely engineered under the discrete bias conditions imposed by RFID hardware. This paper presents a modeling and synthesis framework for binary-reconfigurable FSSs driven by RFID ICs. By exploiting the two programmable output voltages of commercial chips, the proposed FSS toggles between reflective and transparent states at a fixed frequency, enabling wirelessly programmable interfaces without any external supply. A semi-analytical Equivalent Circuit Model (ECM) links the target specifications—operating frequency and fractional bandwidth—to the lumped circuit parameters and, in turn, to the unit-cell geometry. The model provides a rapid and physically interpretable design tool, validated through full-wave simulations of multiple layouts showing agreement within 5% of numerical results.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"10 ","pages":"1-10"},"PeriodicalIF":3.7000,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE journal of radio frequency identification","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11298705/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Radiofrequency Identification (RFID) technology is entering its third generation, extending beyond identification and sensing toward the control of electromagnetic (EM) functions. Recent studies have demonstrated the feasibility of RFID-controlled antennas, metasurfaces, and intelligent surfaces, where standard RFID Integrated Circuits (ICs) act as wireless, battery-free controllers. Within this family, Frequency Selective Surfaces (FSSs) represent a particularly demanding case, since their narrowband resonant response must be precisely engineered under the discrete bias conditions imposed by RFID hardware. This paper presents a modeling and synthesis framework for binary-reconfigurable FSSs driven by RFID ICs. By exploiting the two programmable output voltages of commercial chips, the proposed FSS toggles between reflective and transparent states at a fixed frequency, enabling wirelessly programmable interfaces without any external supply. A semi-analytical Equivalent Circuit Model (ECM) links the target specifications—operating frequency and fractional bandwidth—to the lumped circuit parameters and, in turn, to the unit-cell geometry. The model provides a rapid and physically interpretable design tool, validated through full-wave simulations of multiple layouts showing agreement within 5% of numerical results.