{"title":"OFDM Modulation Classification and Parameters Extraction","authors":"Hong Li, Y. Bar-Ness, A. Abdi, O. Somekh, W. Su","doi":"10.1109/CROWNCOM.2006.363474","DOIUrl":null,"url":null,"abstract":"A novel comprehensive classification system is proposed for recognizing the orthogonal frequency division multiplexing (OFDM) signal and extracting its parameters. An empirical distribution function-based Gaussianity test technique is first applied to distinguish OFDM from single carrier modulations. Cyclostationarity and correlation tests are then applied to estimate OFDM symbol duration and cyclic prefix duration. A bank of fast Fourier transform (FFT) bank filter is devised to detect the number of subcarriers. Numerical results are presented to verify the efficiency of the proposed scheme","PeriodicalId":422961,"journal":{"name":"2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications","volume":"241 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"52","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.2006.363474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 52
Abstract
A novel comprehensive classification system is proposed for recognizing the orthogonal frequency division multiplexing (OFDM) signal and extracting its parameters. An empirical distribution function-based Gaussianity test technique is first applied to distinguish OFDM from single carrier modulations. Cyclostationarity and correlation tests are then applied to estimate OFDM symbol duration and cyclic prefix duration. A bank of fast Fourier transform (FFT) bank filter is devised to detect the number of subcarriers. Numerical results are presented to verify the efficiency of the proposed scheme
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