Jun Gi Hong, Seok-Jae Lee, Jongsik Lim, Won‐Sang Yoon, Sang‐Min Han
{"title":"RF spectrum sensing receiver system with improved frequency channel selectivity for cognitive iot sensor network applications","authors":"Jun Gi Hong, Seok-Jae Lee, Jongsik Lim, Won‐Sang Yoon, Sang‐Min Han","doi":"10.1109/MWSYM.2016.7540311","DOIUrl":null,"url":null,"abstract":"A channel-selective super regenerative receiver (SRR) system is proposed with improved channel selectivity. The proposed SRR system operates only at a valid incoming signal due to the RF spectrum sensing functionality. To overcome the rough channel selectivity of the SRR, a systemic methodology is proposed for controlling quenching signal waveforms. From the experimental evaluations, the proposed system presented excellent channel selection capability of the 3.5-MHz channel bandwidth. The proposed architecture can allocate at least three times the number of channels for cognitive IoT sensor networks as that of previous ones.","PeriodicalId":6554,"journal":{"name":"2016 IEEE MTT-S International Microwave Symposium (IMS)","volume":"22 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE MTT-S International Microwave Symposium (IMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSYM.2016.7540311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
A channel-selective super regenerative receiver (SRR) system is proposed with improved channel selectivity. The proposed SRR system operates only at a valid incoming signal due to the RF spectrum sensing functionality. To overcome the rough channel selectivity of the SRR, a systemic methodology is proposed for controlling quenching signal waveforms. From the experimental evaluations, the proposed system presented excellent channel selection capability of the 3.5-MHz channel bandwidth. The proposed architecture can allocate at least three times the number of channels for cognitive IoT sensor networks as that of previous ones.