{"title":"Parameter estimation of hybrid hyperbolic FM and polynomial phase signals using the multi-lag high-order ambiguity function","authors":"F. Gini, G. Giannakis","doi":"10.1109/ACSSC.1997.680178","DOIUrl":null,"url":null,"abstract":"Parameter estimation for a combination of a polynomial phase signal (PPS) and a hyperbolic frequency modulation (FM) is addressed. A novel approach is proposed that allows one to decouple estimation of the FM parameters from that of the PPS, exploiting the properties of the multi-lag high-order ambiguity function (ml-HAF). The accuracy achievable by any unbiased estimator of the hybrid FM-PPS parameters is investigated by means of the Cramer-Rao lower bounds (CRLB). Performance analysis is carried out and the CRLBs are compared with simulation results.","PeriodicalId":240431,"journal":{"name":"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","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.1997.680178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
Parameter estimation for a combination of a polynomial phase signal (PPS) and a hyperbolic frequency modulation (FM) is addressed. A novel approach is proposed that allows one to decouple estimation of the FM parameters from that of the PPS, exploiting the properties of the multi-lag high-order ambiguity function (ml-HAF). The accuracy achievable by any unbiased estimator of the hybrid FM-PPS parameters is investigated by means of the Cramer-Rao lower bounds (CRLB). Performance analysis is carried out and the CRLBs are compared with simulation results.
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