Realizing SAR for Localization on Mobile Equipment with Integrated Radar System

V. Vu, Y. Ivanenko, Thomas K. Sjögren, M. Pettersson
{"title":"Realizing SAR for Localization on Mobile Equipment with Integrated Radar System","authors":"V. Vu, Y. Ivanenko, Thomas K. Sjögren, M. Pettersson","doi":"10.1109/IAICT59002.2023.10205874","DOIUrl":null,"url":null,"abstract":"The sub-THz and THz frequency ranges, that have been designated for astronomy and military, are now considered for the next generation of cellular networks. Radar systems operating in these frequency ranges are popular. Sharing the same radio frequency (RF) resources of cellular networks and radar systems opens the great potential to integrate radar system on mobile equipment. With this integration, the radar applications based on detection and ranging are available for mobile equipment. Realizing synthetic aperture radar (SAR) is also possible due to the movement of the mobile equipment that helps to synthesize an aperture larger than the physical aperture of the mobile equipment. Precise active localization in indoor environment is therefore feasible. The paper presents a discussion about active localization by realizing monostatic, bistatic, multistatic and passive SAR on mobile equipment with an integrated radar system. The simulation and experiment results shows the feasibility of the proposal.","PeriodicalId":339796,"journal":{"name":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAICT59002.2023.10205874","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

The sub-THz and THz frequency ranges, that have been designated for astronomy and military, are now considered for the next generation of cellular networks. Radar systems operating in these frequency ranges are popular. Sharing the same radio frequency (RF) resources of cellular networks and radar systems opens the great potential to integrate radar system on mobile equipment. With this integration, the radar applications based on detection and ranging are available for mobile equipment. Realizing synthetic aperture radar (SAR) is also possible due to the movement of the mobile equipment that helps to synthesize an aperture larger than the physical aperture of the mobile equipment. Precise active localization in indoor environment is therefore feasible. The paper presents a discussion about active localization by realizing monostatic, bistatic, multistatic and passive SAR on mobile equipment with an integrated radar system. The simulation and experiment results shows the feasibility of the proposal.
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
集成雷达系统在移动设备上实现SAR定位
次太赫兹和太赫兹频率范围,已经被指定用于天文学和军事,现在正在考虑用于下一代蜂窝网络。在这些频率范围内工作的雷达系统很受欢迎。共享蜂窝网络和雷达系统的相同射频资源,为在移动设备上集成雷达系统提供了巨大的潜力。通过这种集成,基于探测和测距的雷达应用可用于移动设备。由于移动设备的运动有助于合成比移动设备的物理孔径更大的孔径,因此也可以实现合成孔径雷达(SAR)。因此,在室内环境下进行精确的主动定位是可行的。本文讨论了利用集成雷达系统在移动设备上实现单基地、双基地、多基地和无源SAR的主动定位问题。仿真和实验结果表明了该方案的可行性。
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
UE Clustering Based on Grid Affinity Propagation for mmWave D2D in Virtual Small Cells Temporal-Spatial Time Series Self-Attention 2D & 3D Human Motion Forecasting An End-to-end Anchorless Approach to Recognize Hand Gestures using CenterNet Automated Human Facial Emotion Recognition System Using Depthwise Separable Convolutional Neural Network Snacks Detection Under Overlapped Conditions Using Computer Vision
×
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