{"title":"A novel cyclic algorithm for maximum likelihood frequency estimation","authors":"A. Shaw","doi":"10.1109/ICSYSE.1991.161165","DOIUrl":null,"url":null,"abstract":"An algorithm for estimation of frequencies of narrowband sources from noisy observation data is presented. For Gaussianly distributed noise, the algorithm produces maximum likelihood estimates, otherwise least-squares estimates, are obtained. The proposed algorithm is iterative, and at each step of iteration the optimization is with respect to a single frequency only, and hence simple hardware/software is sufficient for implementation. The performance of the algorithm has been compared with theoretical Cramer-Rao bounds.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1991 International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSYSE.1991.161165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
An algorithm for estimation of frequencies of narrowband sources from noisy observation data is presented. For Gaussianly distributed noise, the algorithm produces maximum likelihood estimates, otherwise least-squares estimates, are obtained. The proposed algorithm is iterative, and at each step of iteration the optimization is with respect to a single frequency only, and hence simple hardware/software is sufficient for implementation. The performance of the algorithm has been compared with theoretical Cramer-Rao bounds.<>
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