{"title":"Modulation scheme detection of blind signal using constellation graphical representation","authors":"Y. Yadav, Gaurav Jajoo, S. K. Yadav","doi":"10.1109/COMPTELIX.2017.8003970","DOIUrl":null,"url":null,"abstract":"Modulation scheme detection of blind signal is vital area of research now a days because of the requirement in security and communication applications. In this paper, modulation class is identified based on the constellation graphical representation. Carrier frequency, symbol rate and phase offset are the essential parameters required for the extraction of constellation diagram, which are calculated efficiently. Efficient way of Classification between ASK, PSK and QAM is proposed in this paper. ASK and pool of PSK and QAM is separated using linear regression, and further classification between PSK and QAM has done using circle fitting.","PeriodicalId":6917,"journal":{"name":"2017 International Conference on Computer, Communications and Electronics (Comptelix)","volume":"36 1","pages":"231-235"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computer, Communications and Electronics (Comptelix)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPTELIX.2017.8003970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Modulation scheme detection of blind signal is vital area of research now a days because of the requirement in security and communication applications. In this paper, modulation class is identified based on the constellation graphical representation. Carrier frequency, symbol rate and phase offset are the essential parameters required for the extraction of constellation diagram, which are calculated efficiently. Efficient way of Classification between ASK, PSK and QAM is proposed in this paper. ASK and pool of PSK and QAM is separated using linear regression, and further classification between PSK and QAM has done using circle fitting.