{"title":"基于联邦卡尔曼滤波的GPS辅助惯性导航系统的研制","authors":"C. Hajiyev, M. A. Tutucu","doi":"10.1109/RAST.2003.1303978","DOIUrl":null,"url":null,"abstract":"In the paper an algorithm on aiding the Inertial Navigation System with GPS is presented. Federated Kalman filter, which includes two different Kalman filters and processes INS and GPS data in real time, is designed for this reason. Simulation is made and presented on the flight dynamics, and it is determined that the algorithm for aiding the INS with GPS, evaluates the motion parameters with high accuracy.","PeriodicalId":272869,"journal":{"name":"International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Development of GPS aided INS via Federated Kalman filter\",\"authors\":\"C. Hajiyev, M. A. Tutucu\",\"doi\":\"10.1109/RAST.2003.1303978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper an algorithm on aiding the Inertial Navigation System with GPS is presented. Federated Kalman filter, which includes two different Kalman filters and processes INS and GPS data in real time, is designed for this reason. Simulation is made and presented on the flight dynamics, and it is determined that the algorithm for aiding the INS with GPS, evaluates the motion parameters with high accuracy.\",\"PeriodicalId\":272869,\"journal\":{\"name\":\"International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAST.2003.1303978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAST.2003.1303978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of GPS aided INS via Federated Kalman filter
In the paper an algorithm on aiding the Inertial Navigation System with GPS is presented. Federated Kalman filter, which includes two different Kalman filters and processes INS and GPS data in real time, is designed for this reason. Simulation is made and presented on the flight dynamics, and it is determined that the algorithm for aiding the INS with GPS, evaluates the motion parameters with high accuracy.