M. R. Hidayat, M. A. Wibisono, Yana Yohana, S. Sambasri, Y. Zainal
{"title":"Analysis of Frequency Modulation Identification Based on Decision Tree Algorithm with AWGN Channel","authors":"M. R. Hidayat, M. A. Wibisono, Yana Yohana, S. Sambasri, Y. Zainal","doi":"10.1109/icwt.2018.8527784","DOIUrl":null,"url":null,"abstract":"A decision tree algorithm for identification of frequency modulation analog and digital signal are formulated. The paper constructed identification parameters with minimized knowledge of signal characterization between digital and analog signal with AWGN Channel. Moreover the plotting noise is being plotted for each identified modulation. Indication performance based on binary decision threshold has represented and resulted signal-to-noise as high as 5 dB with computer simulation","PeriodicalId":356888,"journal":{"name":"2018 4th International Conference on Wireless and Telematics (ICWT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Wireless and Telematics (ICWT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icwt.2018.8527784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A decision tree algorithm for identification of frequency modulation analog and digital signal are formulated. The paper constructed identification parameters with minimized knowledge of signal characterization between digital and analog signal with AWGN Channel. Moreover the plotting noise is being plotted for each identified modulation. Indication performance based on binary decision threshold has represented and resulted signal-to-noise as high as 5 dB with computer simulation
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