一种改进后向迭代算法的新型Cubature Kalman滤波器

Wu Bo, Liu Pengyuan
{"title":"一种改进后向迭代算法的新型Cubature Kalman滤波器","authors":"Wu Bo, Liu Pengyuan","doi":"10.1109/ICICTA.2015.20","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of nonlinear maneuvering target tracking, a new cubature kalman filter (CKF) with constant acceleration model was researched. According to simulation result, CKF presented a problem of excessive delay when tracking maneuvering targets with fierce change on acceleration. In order to solve this problem, a backward iterative algorithm that amend the last state estimation with the predicted current state was applied in CKF (BI-CKF). By the end of this paper, a typical target model with turning maneuvering was applied to CKF and BI-CKF, the effect of the two algorithm were compared. The simulation results show that BI-CKF algorithm was better than CKF algorithm at dynamic characteristic.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New Cubature Kalman Filter Improved by Backward Iterative Algorithm\",\"authors\":\"Wu Bo, Liu Pengyuan\",\"doi\":\"10.1109/ICICTA.2015.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the problem of nonlinear maneuvering target tracking, a new cubature kalman filter (CKF) with constant acceleration model was researched. According to simulation result, CKF presented a problem of excessive delay when tracking maneuvering targets with fierce change on acceleration. In order to solve this problem, a backward iterative algorithm that amend the last state estimation with the predicted current state was applied in CKF (BI-CKF). By the end of this paper, a typical target model with turning maneuvering was applied to CKF and BI-CKF, the effect of the two algorithm were compared. The simulation results show that BI-CKF algorithm was better than CKF algorithm at dynamic characteristic.\",\"PeriodicalId\":231694,\"journal\":{\"name\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2015.20\",\"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 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2015.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

为了解决非线性机动目标跟踪问题,研究了一种恒加速度模型的三维卡尔曼滤波器(CKF)。仿真结果表明,CKF在跟踪加速度变化剧烈的机动目标时存在时滞过大的问题。为了解决这一问题,在CKF中应用了一种用预测的当前状态修正上次状态估计的后向迭代算法(BI-CKF)。最后,将典型的带转向机动的目标模型应用于CKF和BI-CKF,比较了两种算法的效果。仿真结果表明,BI-CKF算法在动态特性上优于CKF算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Cubature Kalman Filter Improved by Backward Iterative Algorithm
In order to solve the problem of nonlinear maneuvering target tracking, a new cubature kalman filter (CKF) with constant acceleration model was researched. According to simulation result, CKF presented a problem of excessive delay when tracking maneuvering targets with fierce change on acceleration. In order to solve this problem, a backward iterative algorithm that amend the last state estimation with the predicted current state was applied in CKF (BI-CKF). By the end of this paper, a typical target model with turning maneuvering was applied to CKF and BI-CKF, the effect of the two algorithm were compared. The simulation results show that BI-CKF algorithm was better than CKF algorithm at dynamic characteristic.
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