{"title":"近场源定位模型的协方差矩阵分析","authors":"F. Nebus, S. Gazovová","doi":"10.23919/NTSP.2018.8524098","DOIUrl":null,"url":null,"abstract":"Paper presents the summary of the mathematical model of the electromagnetic sources localization in the near-field region based on the localization mathematical model valid for the far-field region. The main attention in this article is devoted to the covariance matrix analysis, differences and consequences which are related to the near field region problem nature. Although both concepts in a high level mathematical description apparatus look very much the same, in practical details the model fundamental core is completely different. The localization approach in near-field region is introduced with the use of classical beamforming and multiple signal classification algorithms. For good understanding of the analytical results some simulation results are presented.","PeriodicalId":177579,"journal":{"name":"2018 New Trends in Signal Processing (NTSP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Covariance Matrix Analysis for Near Field Sources Localization Model\",\"authors\":\"F. Nebus, S. Gazovová\",\"doi\":\"10.23919/NTSP.2018.8524098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Paper presents the summary of the mathematical model of the electromagnetic sources localization in the near-field region based on the localization mathematical model valid for the far-field region. The main attention in this article is devoted to the covariance matrix analysis, differences and consequences which are related to the near field region problem nature. Although both concepts in a high level mathematical description apparatus look very much the same, in practical details the model fundamental core is completely different. The localization approach in near-field region is introduced with the use of classical beamforming and multiple signal classification algorithms. For good understanding of the analytical results some simulation results are presented.\",\"PeriodicalId\":177579,\"journal\":{\"name\":\"2018 New Trends in Signal Processing (NTSP)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 New Trends in Signal Processing (NTSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/NTSP.2018.8524098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 New Trends in Signal Processing (NTSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/NTSP.2018.8524098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Covariance Matrix Analysis for Near Field Sources Localization Model
Paper presents the summary of the mathematical model of the electromagnetic sources localization in the near-field region based on the localization mathematical model valid for the far-field region. The main attention in this article is devoted to the covariance matrix analysis, differences and consequences which are related to the near field region problem nature. Although both concepts in a high level mathematical description apparatus look very much the same, in practical details the model fundamental core is completely different. The localization approach in near-field region is introduced with the use of classical beamforming and multiple signal classification algorithms. For good understanding of the analytical results some simulation results are presented.