{"title":"Digital interference on binary-phase-shift-keyed signals","authors":"R. Conklin, B.M. Rogers","doi":"10.1109/MILCOM.1994.474004","DOIUrl":null,"url":null,"abstract":"With the increasing popularity of direct sequence spread spectrum communications for code division multiple access (CDMA) and the established base of frequency division multiple access (FDMA) satellite networks, the possibility exists of combining CDMA and FDMA signals in the same satellite transponder to increase throughput. The typical approach used to model CDMA-on-FDMA interference effects is to assume that the interference is additive white Gaussian interference. Four different methods for modeling the effects of a single digital interferer are presented. The average bit error probability predictions of the models are compared to hardware test results. One conclusion of this paper is a range of parameter values over which the various models are accurate to within the measurement error of the hardware tests.<<ETX>>","PeriodicalId":337873,"journal":{"name":"Proceedings of MILCOM '94","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of MILCOM '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1994.474004","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
With the increasing popularity of direct sequence spread spectrum communications for code division multiple access (CDMA) and the established base of frequency division multiple access (FDMA) satellite networks, the possibility exists of combining CDMA and FDMA signals in the same satellite transponder to increase throughput. The typical approach used to model CDMA-on-FDMA interference effects is to assume that the interference is additive white Gaussian interference. Four different methods for modeling the effects of a single digital interferer are presented. The average bit error probability predictions of the models are compared to hardware test results. One conclusion of this paper is a range of parameter values over which the various models are accurate to within the measurement error of the hardware tests.<>
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