{"title":"时序蒙特卡罗法的时序延迟和多径参数联合估计","authors":"L.V. Mahesh, K. Prabhu","doi":"10.1109/ICCS.2004.1359408","DOIUrl":null,"url":null,"abstract":"The current paper addresses the problem of joint estimation of delay and multipath coefficients in a frequency selective fading channel. The channel and delay are modelled as first order auto regressive processes . Sequential Monte Carlo (SMC) methodology is applied to this joint estimation problem. SMC techniques are powerful tools to perform online inference of state variables of a complex probabilistic dynamic system. It is shown through simulations that this SMC based synchronizer tracks the delay and multipath channel coefficients efficiently","PeriodicalId":333629,"journal":{"name":"The Ninth International Conference onCommunications Systems, 2004. ICCS 2004.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint estimation of timing delay and multipath parameters using sequential Monte Carlo\",\"authors\":\"L.V. Mahesh, K. Prabhu\",\"doi\":\"10.1109/ICCS.2004.1359408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current paper addresses the problem of joint estimation of delay and multipath coefficients in a frequency selective fading channel. The channel and delay are modelled as first order auto regressive processes . Sequential Monte Carlo (SMC) methodology is applied to this joint estimation problem. SMC techniques are powerful tools to perform online inference of state variables of a complex probabilistic dynamic system. It is shown through simulations that this SMC based synchronizer tracks the delay and multipath channel coefficients efficiently\",\"PeriodicalId\":333629,\"journal\":{\"name\":\"The Ninth International Conference onCommunications Systems, 2004. ICCS 2004.\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Ninth International Conference onCommunications Systems, 2004. ICCS 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS.2004.1359408\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Ninth International Conference onCommunications Systems, 2004. ICCS 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS.2004.1359408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint estimation of timing delay and multipath parameters using sequential Monte Carlo
The current paper addresses the problem of joint estimation of delay and multipath coefficients in a frequency selective fading channel. The channel and delay are modelled as first order auto regressive processes . Sequential Monte Carlo (SMC) methodology is applied to this joint estimation problem. SMC techniques are powerful tools to perform online inference of state variables of a complex probabilistic dynamic system. It is shown through simulations that this SMC based synchronizer tracks the delay and multipath channel coefficients efficiently