{"title":"单基多传感器局部数据融合","authors":"W. Xiaojun","doi":"10.1109/ICR.2001.984813","DOIUrl":null,"url":null,"abstract":"A fuzzy data synthesis algorithm is studied for single-base multi-sensor's local data fusion. It provides a capability to differentiate between inferior and fine data of the multi-sensor, and to associate the last available data. The results shows that using this method can improve the data accuracy with low tracking loss probability.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Local data fusion for single-base multi-sensor\",\"authors\":\"W. Xiaojun\",\"doi\":\"10.1109/ICR.2001.984813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy data synthesis algorithm is studied for single-base multi-sensor's local data fusion. It provides a capability to differentiate between inferior and fine data of the multi-sensor, and to associate the last available data. The results shows that using this method can improve the data accuracy with low tracking loss probability.\",\"PeriodicalId\":366998,\"journal\":{\"name\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICR.2001.984813\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICR.2001.984813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy data synthesis algorithm is studied for single-base multi-sensor's local data fusion. It provides a capability to differentiate between inferior and fine data of the multi-sensor, and to associate the last available data. The results shows that using this method can improve the data accuracy with low tracking loss probability.
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