{"title":"基于RLS算法的自适应信道均衡","authors":"Linghui Wang, Wei He, Kaihong Zhou, Zhen Huang","doi":"10.1109/ICSSEM.2011.6081250","DOIUrl":null,"url":null,"abstract":"As inter-symbol interferences have a serious impact on quality of signal transmission in the transmission system of digital baseband, the techniques of adaptive channel equalization are used to eliminate or reduce inter-symbol interference. The RLS algorithm is chosen for MATALAB programming to compare eye diagram before and after equilibrium in this paper. It shows that the algorithm reduces the inter-symbol interference effectively, and achieves channel equalization.","PeriodicalId":406311,"journal":{"name":"2011 International Conference on System science, Engineering design and Manufacturing informatization","volume":"232 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Adaptive channel equalization based on RLS algorithm\",\"authors\":\"Linghui Wang, Wei He, Kaihong Zhou, Zhen Huang\",\"doi\":\"10.1109/ICSSEM.2011.6081250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As inter-symbol interferences have a serious impact on quality of signal transmission in the transmission system of digital baseband, the techniques of adaptive channel equalization are used to eliminate or reduce inter-symbol interference. The RLS algorithm is chosen for MATALAB programming to compare eye diagram before and after equilibrium in this paper. It shows that the algorithm reduces the inter-symbol interference effectively, and achieves channel equalization.\",\"PeriodicalId\":406311,\"journal\":{\"name\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"volume\":\"232 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2011.6081250\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on System science, Engineering design and Manufacturing informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2011.6081250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive channel equalization based on RLS algorithm
As inter-symbol interferences have a serious impact on quality of signal transmission in the transmission system of digital baseband, the techniques of adaptive channel equalization are used to eliminate or reduce inter-symbol interference. The RLS algorithm is chosen for MATALAB programming to compare eye diagram before and after equilibrium in this paper. It shows that the algorithm reduces the inter-symbol interference effectively, and achieves channel equalization.
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