C. Liu, S. Weiss, Soydan Redif, T. Cooper, L. Lampe, J. McWhirter
{"title":"Channel coding for power line communication based on oversampled filter banks","authors":"C. Liu, S. Weiss, Soydan Redif, T. Cooper, L. Lampe, J. McWhirter","doi":"10.1109/ISPLC.2005.1430507","DOIUrl":null,"url":null,"abstract":"Oversampled filter banks (OSFB) can be applied as channel coding and have shown benefits in correlated and impulsive noise. Therefore, in this paper, we consider such channel coders for a power line communications scenario, where such conditions create a hostile channel environment. The proposed channel coder assumes the knowledge of the noise covariance matrix. The transmission is accomplished over the N weakest eigenmodes of the noise, which are identified by means of a broadband eigenvalue decomposition. We demonstrate by simulations that this approach can lead to an enhancement of the SNR in the receiver and to improved performance over standard channel coding approaches.","PeriodicalId":153251,"journal":{"name":"International Symposium on Power Line Communications and Its Applications, 2005.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Power Line Communications and Its Applications, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPLC.2005.1430507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Oversampled filter banks (OSFB) can be applied as channel coding and have shown benefits in correlated and impulsive noise. Therefore, in this paper, we consider such channel coders for a power line communications scenario, where such conditions create a hostile channel environment. The proposed channel coder assumes the knowledge of the noise covariance matrix. The transmission is accomplished over the N weakest eigenmodes of the noise, which are identified by means of a broadband eigenvalue decomposition. We demonstrate by simulations that this approach can lead to an enhancement of the SNR in the receiver and to improved performance over standard channel coding approaches.