Chen Lei, Sun Shuguang, Chen Zijian, Jia Gang, Jiang Mai
{"title":"自适应卡尔曼滤波在GFSINS中求解角速度的应用","authors":"Chen Lei, Sun Shuguang, Chen Zijian, Jia Gang, Jiang Mai","doi":"10.1109/ICINFA.2011.5948978","DOIUrl":null,"url":null,"abstract":"Based on a nine-accelerometer configuration, detailed analyzes the principle of gyroscope free strapdown inertial navigation system (GFSINS), and gives the process for solving angular velocity using a nine-accelerometer configuration. Adaptive kalman filter is constructed equation of state and filtering equations, and using a ballistic data, in the external noise is white noise conditions, and the adaptive kalman filter is verified with high precision solver.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"329 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Application for solving angular velocity with adaptive kalman filtering in GFSINS\",\"authors\":\"Chen Lei, Sun Shuguang, Chen Zijian, Jia Gang, Jiang Mai\",\"doi\":\"10.1109/ICINFA.2011.5948978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on a nine-accelerometer configuration, detailed analyzes the principle of gyroscope free strapdown inertial navigation system (GFSINS), and gives the process for solving angular velocity using a nine-accelerometer configuration. Adaptive kalman filter is constructed equation of state and filtering equations, and using a ballistic data, in the external noise is white noise conditions, and the adaptive kalman filter is verified with high precision solver.\",\"PeriodicalId\":299418,\"journal\":{\"name\":\"2011 IEEE International Conference on Information and Automation\",\"volume\":\"329 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Information and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2011.5948978\",\"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 IEEE International Conference on Information and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2011.5948978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application for solving angular velocity with adaptive kalman filtering in GFSINS
Based on a nine-accelerometer configuration, detailed analyzes the principle of gyroscope free strapdown inertial navigation system (GFSINS), and gives the process for solving angular velocity using a nine-accelerometer configuration. Adaptive kalman filter is constructed equation of state and filtering equations, and using a ballistic data, in the external noise is white noise conditions, and the adaptive kalman filter is verified with high precision solver.