{"title":"时变振幅指数信号的极分解频率估计","authors":"O. Besson, P. Stoica","doi":"10.1109/ACSSC.1997.680176","DOIUrl":null,"url":null,"abstract":"This paper addresses the estimation of the center frequency of complex exponential signals with time-varying amplitude. A method, which requires few assumptions regarding the signal's envelope is proposed. It is based on the polar decomposition of a certain covariance matrix. The polar decomposition, a generalization to matrices of the complex number representation z=re/sup i/spl theta// with r>0, is particularly suitable for the application considered. The notion of truncated polar decomposition is introduced. Simple schemes for estimating the signal's frequency are presented, based on these decompositions. The methods presented herein do not rely on any assumed structure for the time-varying amplitude, and they are shown to possess good performance in a large class of signals. The effectiveness and robustness of our method is demonstrated on real radar data.","PeriodicalId":240431,"journal":{"name":"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On frequency estimation of exponential signals with time-varying amplitude via polar decomposition\",\"authors\":\"O. Besson, P. Stoica\",\"doi\":\"10.1109/ACSSC.1997.680176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the estimation of the center frequency of complex exponential signals with time-varying amplitude. A method, which requires few assumptions regarding the signal's envelope is proposed. It is based on the polar decomposition of a certain covariance matrix. The polar decomposition, a generalization to matrices of the complex number representation z=re/sup i/spl theta// with r>0, is particularly suitable for the application considered. The notion of truncated polar decomposition is introduced. Simple schemes for estimating the signal's frequency are presented, based on these decompositions. The methods presented herein do not rely on any assumed structure for the time-varying amplitude, and they are shown to possess good performance in a large class of signals. The effectiveness and robustness of our method is demonstrated on real radar data.\",\"PeriodicalId\":240431,\"journal\":{\"name\":\"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1997.680176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1997.680176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On frequency estimation of exponential signals with time-varying amplitude via polar decomposition
This paper addresses the estimation of the center frequency of complex exponential signals with time-varying amplitude. A method, which requires few assumptions regarding the signal's envelope is proposed. It is based on the polar decomposition of a certain covariance matrix. The polar decomposition, a generalization to matrices of the complex number representation z=re/sup i/spl theta// with r>0, is particularly suitable for the application considered. The notion of truncated polar decomposition is introduced. Simple schemes for estimating the signal's frequency are presented, based on these decompositions. The methods presented herein do not rely on any assumed structure for the time-varying amplitude, and they are shown to possess good performance in a large class of signals. The effectiveness and robustness of our method is demonstrated on real radar data.