{"title":"基于最小二乘检测的反馈均衡器在UWB系统中的应用","authors":"L. Jing, Chen Xianliang, W. Chao","doi":"10.1109/ICIII.2008.264","DOIUrl":null,"url":null,"abstract":"This paper introduces the adaptive equalizer of least squares in UWB system. And it is important that this paper finds out a sort of new algorithm bases on UWB system. The new algorithm can solve the contradiction between convergent speeds to sensitivity of noise. Obviously, which is better than RLS algorithm. The simulation indicates that this improved feedback type equalizer has better capability.","PeriodicalId":185591,"journal":{"name":"2008 International Conference on Information Management, Innovation Management and Industrial Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Feedback Equalizer Based on the Least Squares Detection in the UWB System\",\"authors\":\"L. Jing, Chen Xianliang, W. Chao\",\"doi\":\"10.1109/ICIII.2008.264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the adaptive equalizer of least squares in UWB system. And it is important that this paper finds out a sort of new algorithm bases on UWB system. The new algorithm can solve the contradiction between convergent speeds to sensitivity of noise. Obviously, which is better than RLS algorithm. The simulation indicates that this improved feedback type equalizer has better capability.\",\"PeriodicalId\":185591,\"journal\":{\"name\":\"2008 International Conference on Information Management, Innovation Management and Industrial Engineering\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Information Management, Innovation Management and Industrial Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIII.2008.264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Information Management, Innovation Management and Industrial Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIII.2008.264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Feedback Equalizer Based on the Least Squares Detection in the UWB System
This paper introduces the adaptive equalizer of least squares in UWB system. And it is important that this paper finds out a sort of new algorithm bases on UWB system. The new algorithm can solve the contradiction between convergent speeds to sensitivity of noise. Obviously, which is better than RLS algorithm. The simulation indicates that this improved feedback type equalizer has better capability.