{"title":"多天线无线通信系统中基于D-S理论的智能信号合并与决策","authors":"Yonghua Li, Tiejun Lv, J. Xia, Feichi Long","doi":"10.1109/CTS.2011.5898931","DOIUrl":null,"url":null,"abstract":"In this paper, a novel signal combining and decision scheme is proposed based on Dempster-Shafer (D-S) evidence theory in multiple antenna system. The focal-element-set (FES) is used to describe the uncertainty for the decision statistics, and the corresponding basic-probability-assignment (BPA) of FES is the likelihood measure, which act as the soft-decisions for the receiver signals. The process is called intelligent deductions and the uncertainty can be counteracted during combining the soft information sources from all received spatial diversity signals, leading to the performance improvement. Simulation results verify that the proposed combining and decision method outperforms conventional combining and decision schemes counterparts with only moderate complexity increases.","PeriodicalId":142306,"journal":{"name":"2011 18th International Conference on Telecommunications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Intelligent signal combining and decision with D-S theory in multiple antennas wireless communication system\",\"authors\":\"Yonghua Li, Tiejun Lv, J. Xia, Feichi Long\",\"doi\":\"10.1109/CTS.2011.5898931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel signal combining and decision scheme is proposed based on Dempster-Shafer (D-S) evidence theory in multiple antenna system. The focal-element-set (FES) is used to describe the uncertainty for the decision statistics, and the corresponding basic-probability-assignment (BPA) of FES is the likelihood measure, which act as the soft-decisions for the receiver signals. The process is called intelligent deductions and the uncertainty can be counteracted during combining the soft information sources from all received spatial diversity signals, leading to the performance improvement. Simulation results verify that the proposed combining and decision method outperforms conventional combining and decision schemes counterparts with only moderate complexity increases.\",\"PeriodicalId\":142306,\"journal\":{\"name\":\"2011 18th International Conference on Telecommunications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 18th International Conference on Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CTS.2011.5898931\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 18th International Conference on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTS.2011.5898931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent signal combining and decision with D-S theory in multiple antennas wireless communication system
In this paper, a novel signal combining and decision scheme is proposed based on Dempster-Shafer (D-S) evidence theory in multiple antenna system. The focal-element-set (FES) is used to describe the uncertainty for the decision statistics, and the corresponding basic-probability-assignment (BPA) of FES is the likelihood measure, which act as the soft-decisions for the receiver signals. The process is called intelligent deductions and the uncertainty can be counteracted during combining the soft information sources from all received spatial diversity signals, leading to the performance improvement. Simulation results verify that the proposed combining and decision method outperforms conventional combining and decision schemes counterparts with only moderate complexity increases.