{"title":"Super resolution matrix pencil algorithm for future fading prediction of mobile radio channels","authors":"A. A. Ali, A. Omar","doi":"10.1109/ISSPA.2005.1580254","DOIUrl":null,"url":null,"abstract":"In this paper a new application for the Matrix Pencil algorithm for the mobile channel 1 prediction is introduced. The Doppler shifts and the amplitudes of the scattered components are determined using the Matrix Pencil algorithm and the channel is then extrapolated (predicted) in the future. The movement of the mobile is assumed to be linear over the distance of several wavelengths . Results for both synthetic and real measurements are used to show the prediction performance. Synthetic signal test experiments show that the proposed prediction scheme is more efficient in computation time than root-MUSIC and even better than ESPRIT.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2005.1580254","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
In this paper a new application for the Matrix Pencil algorithm for the mobile channel 1 prediction is introduced. The Doppler shifts and the amplitudes of the scattered components are determined using the Matrix Pencil algorithm and the channel is then extrapolated (predicted) in the future. The movement of the mobile is assumed to be linear over the distance of several wavelengths . Results for both synthetic and real measurements are used to show the prediction performance. Synthetic signal test experiments show that the proposed prediction scheme is more efficient in computation time than root-MUSIC and even better than ESPRIT.