{"title":"多传感器数据融合策略在火箭/导弹系统测试与评估中的实时应用","authors":"P. Banerjee, R. Appavu Raj","doi":"10.1109/ICIT.2000.854259","DOIUrl":null,"url":null,"abstract":"In this paper various aspects of a typical flight test range are highlighted. Specifically tracking, sensor fusion and safety related aspects are briefly discussed. A hierarchical multi-sensor data fusion strategy is presented. A typical result using Kalman filter-fusion filter for this scheme is given.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Multi-sensor data fusion strategies for real-time application in test and evaluation of rockets/missiles system\",\"authors\":\"P. Banerjee, R. Appavu Raj\",\"doi\":\"10.1109/ICIT.2000.854259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper various aspects of a typical flight test range are highlighted. Specifically tracking, sensor fusion and safety related aspects are briefly discussed. A hierarchical multi-sensor data fusion strategy is presented. A typical result using Kalman filter-fusion filter for this scheme is given.\",\"PeriodicalId\":405648,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2000.854259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2000.854259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-sensor data fusion strategies for real-time application in test and evaluation of rockets/missiles system
In this paper various aspects of a typical flight test range are highlighted. Specifically tracking, sensor fusion and safety related aspects are briefly discussed. A hierarchical multi-sensor data fusion strategy is presented. A typical result using Kalman filter-fusion filter for this scheme is given.