{"title":"考虑概率干扰的瑞利信道编码M-FSK的最大似然译码","authors":"I. Zhilin","doi":"10.1109/BlackSeaCom.2019.8812847","DOIUrl":null,"url":null,"abstract":"This work focuses on the analysis of the achievable performance of coded FSK transmitted over memoryless Rayleigh channel with AWGN and probabilistic additive white Gaussian interference.The soft-output maximum-likelihood (ML) decoder for this channel is derived. It is implemented in the form of a simulation model and is used for assessing performance gap for goodness-of-fit criteria decoders known for their good performance in channels with strong interference.","PeriodicalId":359145,"journal":{"name":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Maximum Likelihood Decoding of the coded M-FSK in Rayleigh Channel with Probabilistic Interference\",\"authors\":\"I. Zhilin\",\"doi\":\"10.1109/BlackSeaCom.2019.8812847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work focuses on the analysis of the achievable performance of coded FSK transmitted over memoryless Rayleigh channel with AWGN and probabilistic additive white Gaussian interference.The soft-output maximum-likelihood (ML) decoder for this channel is derived. It is implemented in the form of a simulation model and is used for assessing performance gap for goodness-of-fit criteria decoders known for their good performance in channels with strong interference.\",\"PeriodicalId\":359145,\"journal\":{\"name\":\"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BlackSeaCom.2019.8812847\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BlackSeaCom.2019.8812847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Maximum Likelihood Decoding of the coded M-FSK in Rayleigh Channel with Probabilistic Interference
This work focuses on the analysis of the achievable performance of coded FSK transmitted over memoryless Rayleigh channel with AWGN and probabilistic additive white Gaussian interference.The soft-output maximum-likelihood (ML) decoder for this channel is derived. It is implemented in the form of a simulation model and is used for assessing performance gap for goodness-of-fit criteria decoders known for their good performance in channels with strong interference.
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