{"title":"A low power control system for real-time tuning of a hybrid transformer-based receiver","authors":"G. Castellano, D. Caro, A. Strollo, D. Manstretta","doi":"10.1109/ICECS.2016.7841199","DOIUrl":null,"url":null,"abstract":"This paper presents the analysis and hardware implementation of a low-power control system for a frequency-division duplexing 3G receiver with a tunable on-chip duplexer based on a hybrid-transformer. The maximum transmit-receive isolation exceeds 60dB and is limited by the precision of the on-chip balancing impedance. An optimization algorithm finds the optimal duplexer tuning condition in less than 100μs and a simple tracking algorithm operating in background preserves this condition over time. The algorithms are implemented in a FPGA and require minimal hardware overhead.","PeriodicalId":205556,"journal":{"name":"2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2016.7841199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents the analysis and hardware implementation of a low-power control system for a frequency-division duplexing 3G receiver with a tunable on-chip duplexer based on a hybrid-transformer. The maximum transmit-receive isolation exceeds 60dB and is limited by the precision of the on-chip balancing impedance. An optimization algorithm finds the optimal duplexer tuning condition in less than 100μs and a simple tracking algorithm operating in background preserves this condition over time. The algorithms are implemented in a FPGA and require minimal hardware overhead.