一种基于分布式卡尔曼滤波的组合导航算法

Yonggang Zhang, Yuanfang Dang, Ning Li, Yulong Huang
{"title":"一种基于分布式卡尔曼滤波的组合导航算法","authors":"Yonggang Zhang, Yuanfang Dang, Ning Li, Yulong Huang","doi":"10.1109/ICINFA.2015.7279640","DOIUrl":null,"url":null,"abstract":"A navigation algorithm based on the distributed Kalman filtering is proposed in this paper. Compared with the algorithm that based on the centralized Kalman filtering, the proposed method can overcome a lot of shortcomings of the integrated navigation algorithm based on centralized Kalman filtering with similar navigation accuracy. Illustrative simulation is also provided to show the efficiency of the proposed method.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A integrated navigation algorithm based on distributed Kalman filter\",\"authors\":\"Yonggang Zhang, Yuanfang Dang, Ning Li, Yulong Huang\",\"doi\":\"10.1109/ICINFA.2015.7279640\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A navigation algorithm based on the distributed Kalman filtering is proposed in this paper. Compared with the algorithm that based on the centralized Kalman filtering, the proposed method can overcome a lot of shortcomings of the integrated navigation algorithm based on centralized Kalman filtering with similar navigation accuracy. Illustrative simulation is also provided to show the efficiency of the proposed method.\",\"PeriodicalId\":186975,\"journal\":{\"name\":\"2015 IEEE International Conference on Information and Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Information and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2015.7279640\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Information and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2015.7279640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

提出了一种基于分布式卡尔曼滤波的导航算法。与基于集中卡尔曼滤波的组合导航算法相比,该方法克服了基于集中卡尔曼滤波的组合导航算法的许多缺点,且导航精度相近。仿真结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A integrated navigation algorithm based on distributed Kalman filter
A navigation algorithm based on the distributed Kalman filtering is proposed in this paper. Compared with the algorithm that based on the centralized Kalman filtering, the proposed method can overcome a lot of shortcomings of the integrated navigation algorithm based on centralized Kalman filtering with similar navigation accuracy. Illustrative simulation is also provided to show the efficiency of the proposed method.
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