基于GPS/INS紧密耦合的自主导航系统建模与分析

W. Lijun, Xiaoniu Yang, Huichang Zhao
{"title":"基于GPS/INS紧密耦合的自主导航系统建模与分析","authors":"W. Lijun, Xiaoniu Yang, Huichang Zhao","doi":"10.1109/ICMMT.2007.381501","DOIUrl":null,"url":null,"abstract":"GPS can provide both military and private users with accurate information about user position and velocity. However its data rate is low as well as 1~10Hz, and it will not provide a continuous and reliable information among mountains, dense forests and high building. Inertial Navigation System (INS) is an autonomous, all-weather navigation system that can provide continuous information of position, velocity and attitude regardless of the surrounding. But the performance of INS deteriorates with time due to inertial sensor performance. GPS and INS have complementary properties, whose integration is an efficient way of improving the whole performance of navigation system. In this paper, the models of GPS and INS, respectively, are built and analyzed, and then a tightly coupled GPS/INS system based on the information of GPS position and velocity is modeled and simulated, which is compared with integrated system using only GPS position data. The simulation and analysis results demonstrate that integrated system can greatly enhance the robustness and reliability of autonomous navigation system.","PeriodicalId":409971,"journal":{"name":"2007 International Conference on Microwave and Millimeter Wave Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The Modeling and Analysis for Autonomous Navigation System Based on Tightly Coupled GPS/INS\",\"authors\":\"W. Lijun, Xiaoniu Yang, Huichang Zhao\",\"doi\":\"10.1109/ICMMT.2007.381501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GPS can provide both military and private users with accurate information about user position and velocity. However its data rate is low as well as 1~10Hz, and it will not provide a continuous and reliable information among mountains, dense forests and high building. Inertial Navigation System (INS) is an autonomous, all-weather navigation system that can provide continuous information of position, velocity and attitude regardless of the surrounding. But the performance of INS deteriorates with time due to inertial sensor performance. GPS and INS have complementary properties, whose integration is an efficient way of improving the whole performance of navigation system. In this paper, the models of GPS and INS, respectively, are built and analyzed, and then a tightly coupled GPS/INS system based on the information of GPS position and velocity is modeled and simulated, which is compared with integrated system using only GPS position data. The simulation and analysis results demonstrate that integrated system can greatly enhance the robustness and reliability of autonomous navigation system.\",\"PeriodicalId\":409971,\"journal\":{\"name\":\"2007 International Conference on Microwave and Millimeter Wave Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Microwave and Millimeter Wave Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMMT.2007.381501\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Microwave and Millimeter Wave Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMMT.2007.381501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

GPS可以为军事和私人用户提供关于用户位置和速度的准确信息。但其数据速率较低,仅为1~10Hz,在山区、密林和高楼之间不能提供连续可靠的信息。惯性导航系统(INS)是一种自主的全天候导航系统,可以不受周围环境的影响,提供连续的位置、速度和姿态信息。但由于惯性传感器性能的影响,惯导系统的性能会随着时间的推移而下降。GPS和INS具有互补的特性,两者的融合是提高导航系统整体性能的有效途径。本文分别建立和分析了GPS和INS的模型,在此基础上对基于GPS位置和速度信息的GPS/INS紧密耦合系统进行了建模和仿真,并与仅使用GPS位置数据的集成系统进行了比较。仿真和分析结果表明,该组合系统可大大提高自主导航系统的鲁棒性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Modeling and Analysis for Autonomous Navigation System Based on Tightly Coupled GPS/INS
GPS can provide both military and private users with accurate information about user position and velocity. However its data rate is low as well as 1~10Hz, and it will not provide a continuous and reliable information among mountains, dense forests and high building. Inertial Navigation System (INS) is an autonomous, all-weather navigation system that can provide continuous information of position, velocity and attitude regardless of the surrounding. But the performance of INS deteriorates with time due to inertial sensor performance. GPS and INS have complementary properties, whose integration is an efficient way of improving the whole performance of navigation system. In this paper, the models of GPS and INS, respectively, are built and analyzed, and then a tightly coupled GPS/INS system based on the information of GPS position and velocity is modeled and simulated, which is compared with integrated system using only GPS position data. The simulation and analysis results demonstrate that integrated system can greatly enhance the robustness and reliability of autonomous navigation system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信