{"title":"用于惯性导航系统的组合互补滤波器","authors":"M. Filiashkin, M. Novik","doi":"10.1109/MSNMC.2012.6475087","DOIUrl":null,"url":null,"abstract":"This paper presents analysis of the complementary algorithm for inertial navigation systems. Suboptimal algorithm for sensors data fusion of the navigation system is proposed. This method employs combined complementary filter approach and attitude error equation of the inertial navigation system. Simulation results are presented to demonstrate the performance of the proposed approach.","PeriodicalId":394899,"journal":{"name":"2012 2nd International Conference \"Methods and Systems of Navigation and Motion Control\" (MSNMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Combined complementary filter For inertial navigation system\",\"authors\":\"M. Filiashkin, M. Novik\",\"doi\":\"10.1109/MSNMC.2012.6475087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents analysis of the complementary algorithm for inertial navigation systems. Suboptimal algorithm for sensors data fusion of the navigation system is proposed. This method employs combined complementary filter approach and attitude error equation of the inertial navigation system. Simulation results are presented to demonstrate the performance of the proposed approach.\",\"PeriodicalId\":394899,\"journal\":{\"name\":\"2012 2nd International Conference \\\"Methods and Systems of Navigation and Motion Control\\\" (MSNMC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 2nd International Conference \\\"Methods and Systems of Navigation and Motion Control\\\" (MSNMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSNMC.2012.6475087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 2nd International Conference \"Methods and Systems of Navigation and Motion Control\" (MSNMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSNMC.2012.6475087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combined complementary filter For inertial navigation system
This paper presents analysis of the complementary algorithm for inertial navigation systems. Suboptimal algorithm for sensors data fusion of the navigation system is proposed. This method employs combined complementary filter approach and attitude error equation of the inertial navigation system. Simulation results are presented to demonstrate the performance of the proposed approach.