{"title":"混合fm -多项式相位信号建模:参数估计与性能分析","authors":"F. Gani, G. Giannakis","doi":"10.1109/HOST.1997.613494","DOIUrl":null,"url":null,"abstract":"Parameter estimation for a combination of a polynomial phase signal (PPS) and a frequency modulated (FM) signal is addressed. A novel approach is proposed that allows one to decouple estimation of the FM parameters from that of the PPS parameters, exploiting the properties of the multi-lag high-order ambiguity function (ml-HAF). Performance analysis is carried out and Cramer-Rao bounds are compared with simulation results.","PeriodicalId":305928,"journal":{"name":"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Hybrid FM-polynomial phase signal modeling: parameter estimation and performance analysis\",\"authors\":\"F. Gani, G. Giannakis\",\"doi\":\"10.1109/HOST.1997.613494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Parameter estimation for a combination of a polynomial phase signal (PPS) and a frequency modulated (FM) signal is addressed. A novel approach is proposed that allows one to decouple estimation of the FM parameters from that of the PPS parameters, exploiting the properties of the multi-lag high-order ambiguity function (ml-HAF). Performance analysis is carried out and Cramer-Rao bounds are compared with simulation results.\",\"PeriodicalId\":305928,\"journal\":{\"name\":\"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HOST.1997.613494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOST.1997.613494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid FM-polynomial phase signal modeling: parameter estimation and performance analysis
Parameter estimation for a combination of a polynomial phase signal (PPS) and a frequency modulated (FM) signal is addressed. A novel approach is proposed that allows one to decouple estimation of the FM parameters from that of the PPS parameters, exploiting the properties of the multi-lag high-order ambiguity function (ml-HAF). Performance analysis is carried out and Cramer-Rao bounds are compared with simulation results.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
