{"title":"A general statistical model for fast fading channel simulation","authors":"D. Polydorou, C. Capsalis","doi":"10.1109/AEM.1996.872858","DOIUrl":null,"url":null,"abstract":"A new statistical model for fast fading channel simulation for both line of sight (L.O.S.) and no L.O.S. cases, has been developed using the theory of statistics. Considering that there is a finite number of fixed or randomly moving scatterers in the propagation medium, then in proportion to the central limit theorem the received signal is a modified Student's process (eq. 1). Thus the amplitude variations of the recived signal (the channel's impulse response envelope variations), termed as fast fading, can be modelled by the new so called POCA distribution, which can be found by the following analysis.","PeriodicalId":445510,"journal":{"name":"Trans Black Sea Region Symposium on Applied Electromagnetism","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trans Black Sea Region Symposium on Applied Electromagnetism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEM.1996.872858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A new statistical model for fast fading channel simulation for both line of sight (L.O.S.) and no L.O.S. cases, has been developed using the theory of statistics. Considering that there is a finite number of fixed or randomly moving scatterers in the propagation medium, then in proportion to the central limit theorem the received signal is a modified Student's process (eq. 1). Thus the amplitude variations of the recived signal (the channel's impulse response envelope variations), termed as fast fading, can be modelled by the new so called POCA distribution, which can be found by the following analysis.