{"title":"一种类牛顿自适应盲决策反馈均衡方案","authors":"Wei‐Chieh Chang, Jenq-Tay Yuan","doi":"10.1109/VTCFall.2019.8891172","DOIUrl":null,"url":null,"abstract":"The paper aims to give considerable insights into how the use of the well-known second-order Newton method along with a whitening filter may help adaptive blind decision feedback equalizer (DFE) achieve excellent performances. Our analytical and simulation results confirmed that the proposed Newton-like adaptive blind DFE scheme significantly outperformed the ex-isting adaptive blind DFE scheme in terms of both the symbol error rate (SER) and the mean- squared error (MSE) perfor-mances.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Newton-Like Adaptive Blind Decision Feedback Equalization Scheme\",\"authors\":\"Wei‐Chieh Chang, Jenq-Tay Yuan\",\"doi\":\"10.1109/VTCFall.2019.8891172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper aims to give considerable insights into how the use of the well-known second-order Newton method along with a whitening filter may help adaptive blind decision feedback equalizer (DFE) achieve excellent performances. Our analytical and simulation results confirmed that the proposed Newton-like adaptive blind DFE scheme significantly outperformed the ex-isting adaptive blind DFE scheme in terms of both the symbol error rate (SER) and the mean- squared error (MSE) perfor-mances.\",\"PeriodicalId\":6713,\"journal\":{\"name\":\"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VTCFall.2019.8891172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2019.8891172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Newton-Like Adaptive Blind Decision Feedback Equalization Scheme
The paper aims to give considerable insights into how the use of the well-known second-order Newton method along with a whitening filter may help adaptive blind decision feedback equalizer (DFE) achieve excellent performances. Our analytical and simulation results confirmed that the proposed Newton-like adaptive blind DFE scheme significantly outperformed the ex-isting adaptive blind DFE scheme in terms of both the symbol error rate (SER) and the mean- squared error (MSE) perfor-mances.
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