{"title":"利用导频符号和空间相关信息进行信道估计","authors":"G. Xie, Xiong Fang, Aimin Yang, Yuan'an Liu","doi":"10.1109/ISCIT.2007.4392162","DOIUrl":null,"url":null,"abstract":"We have investigated channel estimation with robust pilot symbol and spatial correlation information. Uncorrelative MIMO channel estimation based on ML criterion and pilot design scheme is given in this paper. Since spatial correlation cannot be avoided in real MIMO systems, we present new channel estimation which can make the best of spatial correlation information. The theoretic analysis and simulation results prove that our presented algorithm outperform traditional channel estimation algorithm.","PeriodicalId":331439,"journal":{"name":"2007 International Symposium on Communications and Information Technologies","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Channel estimation with pilot symbol and spatial correlation information\",\"authors\":\"G. Xie, Xiong Fang, Aimin Yang, Yuan'an Liu\",\"doi\":\"10.1109/ISCIT.2007.4392162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have investigated channel estimation with robust pilot symbol and spatial correlation information. Uncorrelative MIMO channel estimation based on ML criterion and pilot design scheme is given in this paper. Since spatial correlation cannot be avoided in real MIMO systems, we present new channel estimation which can make the best of spatial correlation information. The theoretic analysis and simulation results prove that our presented algorithm outperform traditional channel estimation algorithm.\",\"PeriodicalId\":331439,\"journal\":{\"name\":\"2007 International Symposium on Communications and Information Technologies\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Communications and Information Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCIT.2007.4392162\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Communications and Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2007.4392162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Channel estimation with pilot symbol and spatial correlation information
We have investigated channel estimation with robust pilot symbol and spatial correlation information. Uncorrelative MIMO channel estimation based on ML criterion and pilot design scheme is given in this paper. Since spatial correlation cannot be avoided in real MIMO systems, we present new channel estimation which can make the best of spatial correlation information. The theoretic analysis and simulation results prove that our presented algorithm outperform traditional channel estimation algorithm.
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