{"title":"多轨关联与融合","authors":"A. K. Roy, S. Koteswara Rao","doi":"10.1109/ICCSP.2011.5739285","DOIUrl":null,"url":null,"abstract":"This paper emphasizes nearest neighbourhood approach for data association, which is carried out after target motion analysis (TMA) solution stabilizes. Parameterized Modified Gain Extended Kalman Filter (PMGEKF) has been used to carry out TMA. Having done, association, fusion with state vectors is carried out.","PeriodicalId":408736,"journal":{"name":"2011 International Conference on Communications and Signal Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Multi-track association and fusion\",\"authors\":\"A. K. Roy, S. Koteswara Rao\",\"doi\":\"10.1109/ICCSP.2011.5739285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper emphasizes nearest neighbourhood approach for data association, which is carried out after target motion analysis (TMA) solution stabilizes. Parameterized Modified Gain Extended Kalman Filter (PMGEKF) has been used to carry out TMA. Having done, association, fusion with state vectors is carried out.\",\"PeriodicalId\":408736,\"journal\":{\"name\":\"2011 International Conference on Communications and Signal Processing\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Communications and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSP.2011.5739285\",\"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 International Conference on Communications and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2011.5739285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper emphasizes nearest neighbourhood approach for data association, which is carried out after target motion analysis (TMA) solution stabilizes. Parameterized Modified Gain Extended Kalman Filter (PMGEKF) has been used to carry out TMA. Having done, association, fusion with state vectors is carried out.
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