Research on Single Observation Station Target Tracking Based on UKF Algorithm

Lieping Zhang, Mingyang Tan, Yanlin Yu, Shenglan Zhang, Wei Liu, Zuqiong Zhang
{"title":"Research on Single Observation Station Target Tracking Based on UKF Algorithm","authors":"Lieping Zhang, Mingyang Tan, Yanlin Yu, Shenglan Zhang, Wei Liu, Zuqiong Zhang","doi":"10.1109/icicn52636.2021.9673925","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of single observation station target tracking, this paper studies the single observation station target tracking algorithm based on Unscented Kalman filter (UKF). Firstly, this paper analyzes the UKF algorithm, and focuses on the implementation of UKF algorithm. On this basis, the modeling principle of single observation station target tracking is given, and the single observation station target tracking algorithm based on UKF algorithm is proposed. Finally, the simulation experiment is carried out by MATLAB. The simulation results show that, compared with the extended Kalman filter algorithm, the target tracking algorithm based on UKF has higher tracking accuracy, but takes longer time.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icicn52636.2021.9673925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Aiming at the problem of single observation station target tracking, this paper studies the single observation station target tracking algorithm based on Unscented Kalman filter (UKF). Firstly, this paper analyzes the UKF algorithm, and focuses on the implementation of UKF algorithm. On this basis, the modeling principle of single observation station target tracking is given, and the single observation station target tracking algorithm based on UKF algorithm is proposed. Finally, the simulation experiment is carried out by MATLAB. The simulation results show that, compared with the extended Kalman filter algorithm, the target tracking algorithm based on UKF has higher tracking accuracy, but takes longer time.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于UKF算法的单观测站目标跟踪研究
针对单观测站目标跟踪问题,研究了基于Unscented卡尔曼滤波(UKF)的单观测站目标跟踪算法。本文首先分析了UKF算法,重点研究了UKF算法的实现。在此基础上,给出了单观测站目标跟踪的建模原理,提出了基于UKF算法的单观测站目标跟踪算法。最后,利用MATLAB进行仿真实验。仿真结果表明,与扩展卡尔曼滤波算法相比,基于UKF的目标跟踪算法具有更高的跟踪精度,但耗时较长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on Single Observation Station Target Tracking Based on UKF Algorithm Deep Reinforcement Learning Based Autonomous Exploration under Uncertainty with Hybrid Network on Graph A Wireless Resource Management and Virtualization Method for Integrated Satellite-Terrestrial Network Smartphone Haptic Applications for Visually Impaired Users Recursive Compressed Sensing of Doubly-selective Sky-Wave Channel in Shortwave OFDM Systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1