{"title":"瑞利衰落信道有限状态马尔可夫模型研究","authors":"Y. Dacheng","doi":"10.1049/cp:20051550","DOIUrl":null,"url":null,"abstract":"A finite-state Markov channel model representing Rayleigh fading channels was introduced.A methodology of selecting signal-to-noise thresholds and the total number of states were discussed based on the analysis of the steady-state probability.And the transition probabilities between states and error probabilities were calculated with the given fading characteristic parameters such as level crossing rate.The validity and accuracy of the model are confirmed by the simulation.","PeriodicalId":53663,"journal":{"name":"Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Finite-State Markov Model for Rayleigh Fading Channels\",\"authors\":\"Y. Dacheng\",\"doi\":\"10.1049/cp:20051550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A finite-state Markov channel model representing Rayleigh fading channels was introduced.A methodology of selecting signal-to-noise thresholds and the total number of states were discussed based on the analysis of the steady-state probability.And the transition probabilities between states and error probabilities were calculated with the given fading characteristic parameters such as level crossing rate.The validity and accuracy of the model are confirmed by the simulation.\",\"PeriodicalId\":53663,\"journal\":{\"name\":\"Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/cp:20051550\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/cp:20051550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Research on Finite-State Markov Model for Rayleigh Fading Channels
A finite-state Markov channel model representing Rayleigh fading channels was introduced.A methodology of selecting signal-to-noise thresholds and the total number of states were discussed based on the analysis of the steady-state probability.And the transition probabilities between states and error probabilities were calculated with the given fading characteristic parameters such as level crossing rate.The validity and accuracy of the model are confirmed by the simulation.