{"title":"多传感器数据融合","authors":"Chen Rui-yuan","doi":"10.1201/9781420038545-4","DOIUrl":null,"url":null,"abstract":"According to the requirements of network centric warfare,multisensor data fusion was studied.Weighted least square estimation and Kalman Filtering were proposed.Theory analysis and simulation experiments were introduced,and the performance of these two methods was proved excellent.","PeriodicalId":337675,"journal":{"name":"Modern Defence Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multisensor data fusion\",\"authors\":\"Chen Rui-yuan\",\"doi\":\"10.1201/9781420038545-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the requirements of network centric warfare,multisensor data fusion was studied.Weighted least square estimation and Kalman Filtering were proposed.Theory analysis and simulation experiments were introduced,and the performance of these two methods was proved excellent.\",\"PeriodicalId\":337675,\"journal\":{\"name\":\"Modern Defence Technology\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Modern Defence Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/9781420038545-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modern Defence Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781420038545-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
According to the requirements of network centric warfare,multisensor data fusion was studied.Weighted least square estimation and Kalman Filtering were proposed.Theory analysis and simulation experiments were introduced,and the performance of these two methods was proved excellent.
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