直接定位中利用接收信号强度集成提高发射机定位精度

Fraser Williams, D. Jayalath, Anju Jose Tom, Terrence Martin, C. Fookes
{"title":"直接定位中利用接收信号强度集成提高发射机定位精度","authors":"Fraser Williams, D. Jayalath, Anju Jose Tom, Terrence Martin, C. Fookes","doi":"10.1109/SSP53291.2023.10208001","DOIUrl":null,"url":null,"abstract":"Radio emitter localization methods have traditionally incorporated many sources of information such as time difference of arrival (TDOA), angle of arrival (AOA), and received signal strength (RSS) into a two-step position estimation model. Modern direct position determination (DPD) methods have since superseded the performance of two-step methods in low signal-to-noise ratio (SNR) environments. However, the current DPD literature has neglected the use of RSS information to enhance localization accuracy, despite its prevalence in predecessor two-step methods. As signal strength information is always present at receiver nodes, regardless of operating hardware, this information could be used to better estimate emitter position. We propose an RSS method as applied to spatially distributed receiver arrays incorporating beamforming. Monte Carlo simulations show improved accuracy at medium to high SNR as compared to methods exploiting only time and angle information, while having reduced performance at very low SNR.","PeriodicalId":296346,"journal":{"name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Emitter Localization Accuracy Through Integration of Received Signal Strength in Direct Position Determination\",\"authors\":\"Fraser Williams, D. Jayalath, Anju Jose Tom, Terrence Martin, C. Fookes\",\"doi\":\"10.1109/SSP53291.2023.10208001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radio emitter localization methods have traditionally incorporated many sources of information such as time difference of arrival (TDOA), angle of arrival (AOA), and received signal strength (RSS) into a two-step position estimation model. Modern direct position determination (DPD) methods have since superseded the performance of two-step methods in low signal-to-noise ratio (SNR) environments. However, the current DPD literature has neglected the use of RSS information to enhance localization accuracy, despite its prevalence in predecessor two-step methods. As signal strength information is always present at receiver nodes, regardless of operating hardware, this information could be used to better estimate emitter position. We propose an RSS method as applied to spatially distributed receiver arrays incorporating beamforming. Monte Carlo simulations show improved accuracy at medium to high SNR as compared to methods exploiting only time and angle information, while having reduced performance at very low SNR.\",\"PeriodicalId\":296346,\"journal\":{\"name\":\"2023 IEEE Statistical Signal Processing Workshop (SSP)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Statistical Signal Processing Workshop (SSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSP53291.2023.10208001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Statistical Signal Processing Workshop (SSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSP53291.2023.10208001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

传统的无线电发射器定位方法将到达时差(TDOA)、到达角(AOA)和接收信号强度(RSS)等多种信息源合并到一个两步位置估计模型中。现代直接定位(DPD)方法在低信噪比(SNR)环境中取代了两步法的性能。然而,目前的DPD文献忽略了使用RSS信息来提高定位精度,尽管它在以前的两步法中很普遍。由于信号强度信息总是存在于接收节点,无论操作硬件如何,该信息可用于更好地估计发射器位置。我们提出了一种应用于包含波束形成的空间分布式接收机阵列的RSS方法。蒙特卡罗模拟表明,与仅利用时间和角度信息的方法相比,在中高信噪比下精度提高,而在非常低的信噪比下性能降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Emitter Localization Accuracy Through Integration of Received Signal Strength in Direct Position Determination
Radio emitter localization methods have traditionally incorporated many sources of information such as time difference of arrival (TDOA), angle of arrival (AOA), and received signal strength (RSS) into a two-step position estimation model. Modern direct position determination (DPD) methods have since superseded the performance of two-step methods in low signal-to-noise ratio (SNR) environments. However, the current DPD literature has neglected the use of RSS information to enhance localization accuracy, despite its prevalence in predecessor two-step methods. As signal strength information is always present at receiver nodes, regardless of operating hardware, this information could be used to better estimate emitter position. We propose an RSS method as applied to spatially distributed receiver arrays incorporating beamforming. Monte Carlo simulations show improved accuracy at medium to high SNR as compared to methods exploiting only time and angle information, while having reduced performance at very low SNR.
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