M. Ghosh, V. Gaddam, Gene Turkenich, K. Challapali
{"title":"Spectrum Sensing Prototype for Sensing ATSC and Wireless Microphone Signals","authors":"M. Ghosh, V. Gaddam, Gene Turkenich, K. Challapali","doi":"10.1109/CROWNCOM.2008.4562520","DOIUrl":null,"url":null,"abstract":"Spectrum sensing is the key enabler for dynamic spectrum access in the television (TV) bands as it can allow secondary networks to reuse spectrum without causing harmful interference to primary users. In this paper we describe a sensing prototype that has been developed to demonstrate robust sensing of TV signals as well as wireless microphone signals in the laboratory and field. We will present the algorithms as well as simulation, lab and field test results that validate the prototype's capability to identify these signals down to a level of -116 dBm.","PeriodicalId":409408,"journal":{"name":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CROWNCOM.2008.4562520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 46
Abstract
Spectrum sensing is the key enabler for dynamic spectrum access in the television (TV) bands as it can allow secondary networks to reuse spectrum without causing harmful interference to primary users. In this paper we describe a sensing prototype that has been developed to demonstrate robust sensing of TV signals as well as wireless microphone signals in the laboratory and field. We will present the algorithms as well as simulation, lab and field test results that validate the prototype's capability to identify these signals down to a level of -116 dBm.