Monitoring the Kalman Gain Behavior for Maneuver Detection

S. Stubberud, K. Kramer
{"title":"Monitoring the Kalman Gain Behavior for Maneuver Detection","authors":"S. Stubberud, K. Kramer","doi":"10.1109/ICSEng.2017.71","DOIUrl":null,"url":null,"abstract":"A different way to detect maneuvers in Kalman-filter-based target tracking is discussed. By examining the behavior of the Kalman gains, a target maneuver may be detected prior to the state change being detected. A first look at this approach is presented. The individual Kalman gains of the target tracking algorithm are monitored over time. Variations in the gains' behaviors such as zero crossings and short-term high frequency energy are seen to indicate the existence target maneuvers.","PeriodicalId":202005,"journal":{"name":"2017 25th International Conference on Systems Engineering (ICSEng)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th International Conference on Systems Engineering (ICSEng)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSEng.2017.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

A different way to detect maneuvers in Kalman-filter-based target tracking is discussed. By examining the behavior of the Kalman gains, a target maneuver may be detected prior to the state change being detected. A first look at this approach is presented. The individual Kalman gains of the target tracking algorithm are monitored over time. Variations in the gains' behaviors such as zero crossings and short-term high frequency energy are seen to indicate the existence target maneuvers.
机动检测中卡尔曼增益行为的监测
讨论了基于卡尔曼滤波的目标跟踪中机动检测的一种不同方法。通过检查卡尔曼增益的行为,可以在检测到状态变化之前检测到目标机动。本文首先介绍了这种方法。目标跟踪算法的卡尔曼增益随时间的变化而变化。增益行为的变化,如过零和短期高频能量,表明存在目标机动。
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 求助全文
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:604180095
Book学术官方微信