基于线性多目标综合概率数据关联的超视距雷达多路径数据关联

Yuan Huang, S. Chong, T. Song, J. Lee
{"title":"基于线性多目标综合概率数据关联的超视距雷达多路径数据关联","authors":"Yuan Huang, S. Chong, T. Song, J. Lee","doi":"10.1109/ICCAIS.2018.8570333","DOIUrl":null,"url":null,"abstract":"In over-the-horizon radar (OTHR) applications, one target can generate multiple detections due to the multiple signal propagation paths through the ionosphere. Traditional joint multiple detection data association algorithms suffer from the high computational load when they are applied to OTHR. Different from the traditional joint multiple detection data association structures, a novel scheme is developed based on the modulated clutter measurement density. When a measurement cell, which contains one or more measurements, is associated to a track, the proposed scheme considers not only the possibility that this measurement cell is generated by clutter but also the possibility that this measurement cell is generated from other targets. Using the modulated clutter measurement density, a single target data association structure can be applied to multitarget data association. The simulation results show that the proposed algorithm is much more computationally efficient compared to the traditional joint multiple detection joint data association structures.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-path Data Association for Over-the-Horizon Radar Using Linear Multitarget Integrated Probabilistic Data Association\",\"authors\":\"Yuan Huang, S. Chong, T. Song, J. Lee\",\"doi\":\"10.1109/ICCAIS.2018.8570333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In over-the-horizon radar (OTHR) applications, one target can generate multiple detections due to the multiple signal propagation paths through the ionosphere. Traditional joint multiple detection data association algorithms suffer from the high computational load when they are applied to OTHR. Different from the traditional joint multiple detection data association structures, a novel scheme is developed based on the modulated clutter measurement density. When a measurement cell, which contains one or more measurements, is associated to a track, the proposed scheme considers not only the possibility that this measurement cell is generated by clutter but also the possibility that this measurement cell is generated from other targets. Using the modulated clutter measurement density, a single target data association structure can be applied to multitarget data association. The simulation results show that the proposed algorithm is much more computationally efficient compared to the traditional joint multiple detection joint data association structures.\",\"PeriodicalId\":223618,\"journal\":{\"name\":\"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAIS.2018.8570333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS.2018.8570333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

在超视距雷达(OTHR)应用中,由于信号通过电离层的多种传播路径,一个目标可以产生多个探测。传统的联合多检测数据关联算法在应用于OTHR时存在计算量大的问题。与传统的联合多重检测数据关联结构不同,提出了一种基于调制杂波测量密度的新方案。当包含一个或多个测量值的测量单元与航迹相关联时,该方案不仅考虑该测量单元由杂波产生的可能性,而且考虑该测量单元由其他目标产生的可能性。利用调制后的杂波测量密度,可以将单目标数据关联结构应用于多目标数据关联。仿真结果表明,与传统的联合多检测联合数据关联结构相比,该算法的计算效率大大提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Multi-path Data Association for Over-the-Horizon Radar Using Linear Multitarget Integrated Probabilistic Data Association
In over-the-horizon radar (OTHR) applications, one target can generate multiple detections due to the multiple signal propagation paths through the ionosphere. Traditional joint multiple detection data association algorithms suffer from the high computational load when they are applied to OTHR. Different from the traditional joint multiple detection data association structures, a novel scheme is developed based on the modulated clutter measurement density. When a measurement cell, which contains one or more measurements, is associated to a track, the proposed scheme considers not only the possibility that this measurement cell is generated by clutter but also the possibility that this measurement cell is generated from other targets. Using the modulated clutter measurement density, a single target data association structure can be applied to multitarget data association. The simulation results show that the proposed algorithm is much more computationally efficient compared to the traditional joint multiple detection joint data association structures.
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
期刊最新文献
The Seventh International Conference on Control Animation and Information Sciences Cell Lineage Tracking Based on Labeled Random Finite Set Filtering Fault Detection Method Based on Improved Isomap and SVM in Noise-Containing Nonlinear Process Multivariable Composite Prediction Based on Kalman Filtering and Charging and Discharging Scheduling Strategy of Energy Storage System A Novel Short Time H∞ Filtering for Discrete Linear 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