{"title":"A New Method for Identification of MQAM Signals in Rayleigh Fading Channel","authors":"M. Huang, Bingbing Li, B. Lan, Yanling Li","doi":"10.1109/ICCSN.2010.31","DOIUrl":null,"url":null,"abstract":"This paper presents a method for the automatic classification of MQAM signals in Rayleigh fading channel. The advantage of our method is that, by designing a feature vector which is composed of higher order moments, we do not have to acquire a priori knowledge of signal parameters, what is more, it is a simple, very low complexity, robust method. Computer simulations are made and the results show that our method can reach much better classification accuracy than the existing methods.","PeriodicalId":255246,"journal":{"name":"2010 Second International Conference on Communication Software and Networks","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Communication Software and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2010.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a method for the automatic classification of MQAM signals in Rayleigh fading channel. The advantage of our method is that, by designing a feature vector which is composed of higher order moments, we do not have to acquire a priori knowledge of signal parameters, what is more, it is a simple, very low complexity, robust method. Computer simulations are made and the results show that our method can reach much better classification accuracy than the existing methods.
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