{"title":"System-Level RF Desense Characterization for Mobile Computer Applications","authors":"Jaejin Lee, Hao-han Hsu","doi":"10.23919/USNC/URSI49741.2020.9321647","DOIUrl":null,"url":null,"abstract":"A new system-level RF desense characterization technique is investigated to assess platform noise in mobile computer systems. The technique uses a highly tuned antenna probe that provides 8-dB higher noise detection sensitivity in Wi-Fi band of interest than conventional near-field probe technique. This characterization technique is validated with mobile PC system and demonstrates accurate spatial RFI noise distribution. In addition, the low-RFI regions are identified and show improved Wi-Fi throughput performance. The presented desense characterization technique can be used to improve radio system performance and mitigate potential RFI risk in mobile computer system applications.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/USNC/URSI49741.2020.9321647","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A new system-level RF desense characterization technique is investigated to assess platform noise in mobile computer systems. The technique uses a highly tuned antenna probe that provides 8-dB higher noise detection sensitivity in Wi-Fi band of interest than conventional near-field probe technique. This characterization technique is validated with mobile PC system and demonstrates accurate spatial RFI noise distribution. In addition, the low-RFI regions are identified and show improved Wi-Fi throughput performance. The presented desense characterization technique can be used to improve radio system performance and mitigate potential RFI risk in mobile computer system applications.