{"title":"Cyclostatilonarilty-Based Test for Detection of Vacant Frequency Bands","authors":"Mohamed Ghozzi, F. Marx, M. Dohler, J. Palicot","doi":"10.1109/CROWNCOM.2006.363454","DOIUrl":null,"url":null,"abstract":"The problem addressed in this paper is the test for presence of any telecommunication signal within a given frequency band, which is of great importance for cognitive radios. Since a telecommunication signal is well modeled as cyclostationary, we transform this problem to the one of testing for presence of the cylostationary property over a range of cyclic frequencies and we propose a constant false alarm rate (CFAR) multicycle detector based on a chi-squared (x2) statistical test of the time varying covariance estimate","PeriodicalId":422961,"journal":{"name":"2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"130","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CROWNCOM.2006.363454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 130
Abstract
The problem addressed in this paper is the test for presence of any telecommunication signal within a given frequency band, which is of great importance for cognitive radios. Since a telecommunication signal is well modeled as cyclostationary, we transform this problem to the one of testing for presence of the cylostationary property over a range of cyclic frequencies and we propose a constant false alarm rate (CFAR) multicycle detector based on a chi-squared (x2) statistical test of the time varying covariance estimate