{"title":"考虑互相关的准轨道融合","authors":"Yongxin Gao, X. Li","doi":"10.1109/ICIF.2010.5711957","DOIUrl":null,"url":null,"abstract":"This paper deals with distributed fusion with local quasi-tracklets and provides the optimal linear minimum mean-squared error (LMMSE) fusion, namely optimal quasi-tracklet fusion. We analyze its performance, present a necessary and sufficient condition under which the fusion is identical with the centralized fusion, and exploit its relationships with some existing distributed fusion methods. Numerical results are provided to illustrate its performance compared with the centralized and existing distributed fusion algorithms.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Quasi-tracklet fusion accounting for cross-correlation\",\"authors\":\"Yongxin Gao, X. Li\",\"doi\":\"10.1109/ICIF.2010.5711957\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with distributed fusion with local quasi-tracklets and provides the optimal linear minimum mean-squared error (LMMSE) fusion, namely optimal quasi-tracklet fusion. We analyze its performance, present a necessary and sufficient condition under which the fusion is identical with the centralized fusion, and exploit its relationships with some existing distributed fusion methods. Numerical results are provided to illustrate its performance compared with the centralized and existing distributed fusion algorithms.\",\"PeriodicalId\":341446,\"journal\":{\"name\":\"2010 13th International Conference on Information Fusion\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 13th International Conference on Information Fusion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIF.2010.5711957\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 13th International Conference on Information Fusion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIF.2010.5711957","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quasi-tracklet fusion accounting for cross-correlation
This paper deals with distributed fusion with local quasi-tracklets and provides the optimal linear minimum mean-squared error (LMMSE) fusion, namely optimal quasi-tracklet fusion. We analyze its performance, present a necessary and sufficient condition under which the fusion is identical with the centralized fusion, and exploit its relationships with some existing distributed fusion methods. Numerical results are provided to illustrate its performance compared with the centralized and existing distributed fusion algorithms.