{"title":"一般分布的白噪声多径衰落信道的线性预测估计","authors":"Qiang Shen, Bo-Xiu Wu, A. Elhakeem, Ke-Qiang Liao","doi":"10.1109/GLOCOM.1994.513148","DOIUrl":null,"url":null,"abstract":"The parameter estimation of the multipath and fading channel for a RAKE correlator is investigated. A linear predictor is proposed to get better estimation. Since the industrial interference is generally impulsive, the investigation is under a general distribution assumption for white noise. A parallel LMS adaptive algorithm is proposed to reduce the impairment of impulsive noise and decision feedback error on predictor weights adjustment. Performance analysis and computer simulations are presented.","PeriodicalId":323626,"journal":{"name":"1994 IEEE GLOBECOM. Communications: The Global Bridge","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The linear predictive estimation in the RAKE for multipath-fading channel with white noise of general distributions\",\"authors\":\"Qiang Shen, Bo-Xiu Wu, A. Elhakeem, Ke-Qiang Liao\",\"doi\":\"10.1109/GLOCOM.1994.513148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The parameter estimation of the multipath and fading channel for a RAKE correlator is investigated. A linear predictor is proposed to get better estimation. Since the industrial interference is generally impulsive, the investigation is under a general distribution assumption for white noise. A parallel LMS adaptive algorithm is proposed to reduce the impairment of impulsive noise and decision feedback error on predictor weights adjustment. Performance analysis and computer simulations are presented.\",\"PeriodicalId\":323626,\"journal\":{\"name\":\"1994 IEEE GLOBECOM. Communications: The Global Bridge\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1994 IEEE GLOBECOM. Communications: The Global Bridge\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOCOM.1994.513148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1994 IEEE GLOBECOM. Communications: The Global Bridge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.1994.513148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The linear predictive estimation in the RAKE for multipath-fading channel with white noise of general distributions
The parameter estimation of the multipath and fading channel for a RAKE correlator is investigated. A linear predictor is proposed to get better estimation. Since the industrial interference is generally impulsive, the investigation is under a general distribution assumption for white noise. A parallel LMS adaptive algorithm is proposed to reduce the impairment of impulsive noise and decision feedback error on predictor weights adjustment. Performance analysis and computer simulations are presented.
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