{"title":"数字调制分类:BPSK与QPSK的案例","authors":"K. Kim, A. Polydoros","doi":"10.1109/MILCOM.1988.13427","DOIUrl":null,"url":null,"abstract":"The authors report on a novel BPSK/QPSK classifier and compare it to the more traditional, ad-hoc techniques of-a-square-law classifier and phase-based classifiers (weighting on the phase histogram). The proposed classifier is derived by an approximation of the likelihood-ratio functionals of phase modulated digital signals in white Gaussian noise, called a quasi-log-likelihood-ratio (qLLR) rule. It is shown analytically that its performance is significantly better than that of intuitively designed phased-based rules or the conventional square-law classifier.<<ETX>>","PeriodicalId":66166,"journal":{"name":"军事通信技术","volume":"23 1","pages":"431-436 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1988-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"85","resultStr":"{\"title\":\"Digital modulation classification: the BPSK versus QPSK case\",\"authors\":\"K. Kim, A. Polydoros\",\"doi\":\"10.1109/MILCOM.1988.13427\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors report on a novel BPSK/QPSK classifier and compare it to the more traditional, ad-hoc techniques of-a-square-law classifier and phase-based classifiers (weighting on the phase histogram). The proposed classifier is derived by an approximation of the likelihood-ratio functionals of phase modulated digital signals in white Gaussian noise, called a quasi-log-likelihood-ratio (qLLR) rule. It is shown analytically that its performance is significantly better than that of intuitively designed phased-based rules or the conventional square-law classifier.<<ETX>>\",\"PeriodicalId\":66166,\"journal\":{\"name\":\"军事通信技术\",\"volume\":\"23 1\",\"pages\":\"431-436 vol.2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"85\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"军事通信技术\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/MILCOM.1988.13427\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"军事通信技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/MILCOM.1988.13427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital modulation classification: the BPSK versus QPSK case
The authors report on a novel BPSK/QPSK classifier and compare it to the more traditional, ad-hoc techniques of-a-square-law classifier and phase-based classifiers (weighting on the phase histogram). The proposed classifier is derived by an approximation of the likelihood-ratio functionals of phase modulated digital signals in white Gaussian noise, called a quasi-log-likelihood-ratio (qLLR) rule. It is shown analytically that its performance is significantly better than that of intuitively designed phased-based rules or the conventional square-law classifier.<>