{"title":"串行I/O离散时间边缘均衡器的改进LMS自适应算法","authors":"J. Koon-Lun Wong, Ehung Chen, K. Chih-Kong Yang","doi":"10.1109/ASSCC.2006.357932","DOIUrl":null,"url":null,"abstract":"Discrete-time edge equalizers can enhance symbol-rate equalizers by compensating for inter-symbol interference at data transitions (timing ISI). The reduced timing ISI improves the timing margin and provides the CDR with clean timing information. This paper shows that adapting tap weights with standard blind LMS algorithm results in a reduced eye and may not converge. A modified algorithm is introduced to maximize the data eye.","PeriodicalId":142478,"journal":{"name":"2006 IEEE Asian Solid-State Circuits Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Modified LMS Adaptation Algorithm for a Discrete-Time Edge Equalizer of Serial I/O\",\"authors\":\"J. Koon-Lun Wong, Ehung Chen, K. Chih-Kong Yang\",\"doi\":\"10.1109/ASSCC.2006.357932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discrete-time edge equalizers can enhance symbol-rate equalizers by compensating for inter-symbol interference at data transitions (timing ISI). The reduced timing ISI improves the timing margin and provides the CDR with clean timing information. This paper shows that adapting tap weights with standard blind LMS algorithm results in a reduced eye and may not converge. A modified algorithm is introduced to maximize the data eye.\",\"PeriodicalId\":142478,\"journal\":{\"name\":\"2006 IEEE Asian Solid-State Circuits Conference\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Asian Solid-State Circuits Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASSCC.2006.357932\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Asian Solid-State Circuits Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASSCC.2006.357932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modified LMS Adaptation Algorithm for a Discrete-Time Edge Equalizer of Serial I/O
Discrete-time edge equalizers can enhance symbol-rate equalizers by compensating for inter-symbol interference at data transitions (timing ISI). The reduced timing ISI improves the timing margin and provides the CDR with clean timing information. This paper shows that adapting tap weights with standard blind LMS algorithm results in a reduced eye and may not converge. A modified algorithm is introduced to maximize the data eye.
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