{"title":"一种新颖的波特长度存储器FSE","authors":"M. Barton","doi":"10.1109/ITS.1990.175615","DOIUrl":null,"url":null,"abstract":"The author presents a novel fractionally spaced equalizer (FSE) that spans a single symbol period. It is derived from the parametric estimates of a time-invariant or slowly time-varying baseband equivalent channel. The parametric channel estimates are assumed to be obtainable from a training sequence prior to data acquisition. The performance of the FSE depends to a large extent on how well the channel parameters can be estimated, and on the input signal-to-noise ratio (SNR) during training.<<ETX>>","PeriodicalId":405932,"journal":{"name":"SBT/IEEE International Symposium on Telecommunications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel baud-length memory FSE\",\"authors\":\"M. Barton\",\"doi\":\"10.1109/ITS.1990.175615\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The author presents a novel fractionally spaced equalizer (FSE) that spans a single symbol period. It is derived from the parametric estimates of a time-invariant or slowly time-varying baseband equivalent channel. The parametric channel estimates are assumed to be obtainable from a training sequence prior to data acquisition. The performance of the FSE depends to a large extent on how well the channel parameters can be estimated, and on the input signal-to-noise ratio (SNR) during training.<<ETX>>\",\"PeriodicalId\":405932,\"journal\":{\"name\":\"SBT/IEEE International Symposium on Telecommunications\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SBT/IEEE International Symposium on Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITS.1990.175615\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SBT/IEEE International Symposium on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITS.1990.175615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The author presents a novel fractionally spaced equalizer (FSE) that spans a single symbol period. It is derived from the parametric estimates of a time-invariant or slowly time-varying baseband equivalent channel. The parametric channel estimates are assumed to be obtainable from a training sequence prior to data acquisition. The performance of the FSE depends to a large extent on how well the channel parameters can be estimated, and on the input signal-to-noise ratio (SNR) during training.<>