{"title":"卡尔曼滤波在非线性动力学和测量导航数据处理中的应用","authors":"V. A. Tupysev, Y. Litvinenko, A. Isaev","doi":"10.23919/icins43215.2020.9133846","DOIUrl":null,"url":null,"abstract":"The paper discusses the possibility of increasing the efficiency of the Kalman type filters for nonlinearities in the dynamics and measurement equations by using a special finite-difference equation to choose the linearization point. The simulation results of navigation data processing problem illustrate the effectiveness of the proposed approach","PeriodicalId":127936,"journal":{"name":"2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application of Kalman Type Filtering for Processing Navigation Data With Nonlinear Dynamics and Measurements\",\"authors\":\"V. A. Tupysev, Y. Litvinenko, A. Isaev\",\"doi\":\"10.23919/icins43215.2020.9133846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper discusses the possibility of increasing the efficiency of the Kalman type filters for nonlinearities in the dynamics and measurement equations by using a special finite-difference equation to choose the linearization point. The simulation results of navigation data processing problem illustrate the effectiveness of the proposed approach\",\"PeriodicalId\":127936,\"journal\":{\"name\":\"2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/icins43215.2020.9133846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/icins43215.2020.9133846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Kalman Type Filtering for Processing Navigation Data With Nonlinear Dynamics and Measurements
The paper discusses the possibility of increasing the efficiency of the Kalman type filters for nonlinearities in the dynamics and measurement equations by using a special finite-difference equation to choose the linearization point. The simulation results of navigation data processing problem illustrate the effectiveness of the proposed approach
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