{"title":"改进了带SI导频的迭代集成电路LMMSE信道估计器的性能边界","authors":"Toni Levanen, M. Renfors","doi":"10.1109/PIMRC.2010.5671605","DOIUrl":null,"url":null,"abstract":"In this paper an iterative, interference cancelling receive structure for single carrier transmission using superimposed training is studied. We derive the analytical MSE limits for LMMSE channel estimator using perfect channel knowledge and show that the simulated values follow well the analytical ones. Then, we utilise these results to analyse the MSE performance of a combined ML-LMMSE chanel estimator structure, where the initial channel estimates are obtained from the ML channel estimator","PeriodicalId":161972,"journal":{"name":"IEEE International Symposium on Personal, Indoor and Mobile Radio Communications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Improved performance bounds for iterative IC LMMSE channel estimator with SI pilots\",\"authors\":\"Toni Levanen, M. Renfors\",\"doi\":\"10.1109/PIMRC.2010.5671605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper an iterative, interference cancelling receive structure for single carrier transmission using superimposed training is studied. We derive the analytical MSE limits for LMMSE channel estimator using perfect channel knowledge and show that the simulated values follow well the analytical ones. Then, we utilise these results to analyse the MSE performance of a combined ML-LMMSE chanel estimator structure, where the initial channel estimates are obtained from the ML channel estimator\",\"PeriodicalId\":161972,\"journal\":{\"name\":\"IEEE International Symposium on Personal, Indoor and Mobile Radio Communications\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Symposium on Personal, Indoor and Mobile Radio Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIMRC.2010.5671605\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Personal, Indoor and Mobile Radio Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2010.5671605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved performance bounds for iterative IC LMMSE channel estimator with SI pilots
In this paper an iterative, interference cancelling receive structure for single carrier transmission using superimposed training is studied. We derive the analytical MSE limits for LMMSE channel estimator using perfect channel knowledge and show that the simulated values follow well the analytical ones. Then, we utilise these results to analyse the MSE performance of a combined ML-LMMSE chanel estimator structure, where the initial channel estimates are obtained from the ML channel estimator