{"title":"Frequency estimation of the sinusoidal signals with unknown lowpass envelopes based on the eigenanalysis","authors":"F. Ge, Q. Wan, Xiutan Wang, Yingning Peng","doi":"10.1109/NRC.2002.999760","DOIUrl":null,"url":null,"abstract":"In this paper, the frequency estimation of the sinusoidal signals with unknown lowpass envelope is addressed. Due to mismodeling, the performance of the conventional subspace-based method degrades significantly in these cases. By developing the method applied to the parametric localization of distributed sources, an eigenanalysis-based method is proposed for the frequency estimate. The comparisons of the proposed method and the nonlinear least-squares (NLS) approach with each other as well as the Cramer-Rao bound (CRB), are presented. The simulations illustrate the good performance in the precision and super-resolution.","PeriodicalId":448055,"journal":{"name":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2002.999760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper, the frequency estimation of the sinusoidal signals with unknown lowpass envelope is addressed. Due to mismodeling, the performance of the conventional subspace-based method degrades significantly in these cases. By developing the method applied to the parametric localization of distributed sources, an eigenanalysis-based method is proposed for the frequency estimate. The comparisons of the proposed method and the nonlinear least-squares (NLS) approach with each other as well as the Cramer-Rao bound (CRB), are presented. The simulations illustrate the good performance in the precision and super-resolution.
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