Tomographic Bistatic 3-D Imaging and Coordinate Reconstruction Method Based on Uplink Communication Process

IF 8.6 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2025-04-01 DOI:10.1109/TGRS.2025.3556011
Lannuo Yin;Yong Wang
{"title":"Tomographic Bistatic 3-D Imaging and Coordinate Reconstruction Method Based on Uplink Communication Process","authors":"Lannuo Yin;Yong Wang","doi":"10.1109/TGRS.2025.3556011","DOIUrl":null,"url":null,"abstract":"Integrated sensing and communication (ISAC) is one of the core functions of 6G. Therefore, it is essential to develop sensing and imaging technologies for environmental reconstruction utilizing the existing communication infrastructure. This article proposes a novel tomographic bistatic 3-D imaging and coordinate reconstruction method based on the uplink communication process for the first time. First, this article presents the relationship between the imaging parameters and the communication system and the way to extract echo for imaging from that received by the communication system. Then, a scenario involving base station (BS)-building-user equipment (UE) imaging is proposed, and the model-based principle of the tomographic synthetic aperture radar (TomoSAR) elevation reconstruction is derived. Finally, due to the dense distribution of 6G BSs, different from the traditional spaceborne or airborne systems, the imaging targets are situated in near-field areas. Therefore, the 2-D backprojection (BP) imaging distorts the true spatial location of the targets, leading to differences between the actual positions and the image results. To address this, this article proposes a 3-D coordinate reconstruction algorithm based on BP near-field imaging. The core idea behind this is to transform the 3-D coordinate reconstruction problem into a nonlinear least-squares problem. The simulation experiments demonstrate the effectiveness of the proposed method.","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"63 ","pages":"1-16"},"PeriodicalIF":8.6000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Geoscience and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10945996/","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Integrated sensing and communication (ISAC) is one of the core functions of 6G. Therefore, it is essential to develop sensing and imaging technologies for environmental reconstruction utilizing the existing communication infrastructure. This article proposes a novel tomographic bistatic 3-D imaging and coordinate reconstruction method based on the uplink communication process for the first time. First, this article presents the relationship between the imaging parameters and the communication system and the way to extract echo for imaging from that received by the communication system. Then, a scenario involving base station (BS)-building-user equipment (UE) imaging is proposed, and the model-based principle of the tomographic synthetic aperture radar (TomoSAR) elevation reconstruction is derived. Finally, due to the dense distribution of 6G BSs, different from the traditional spaceborne or airborne systems, the imaging targets are situated in near-field areas. Therefore, the 2-D backprojection (BP) imaging distorts the true spatial location of the targets, leading to differences between the actual positions and the image results. To address this, this article proposes a 3-D coordinate reconstruction algorithm based on BP near-field imaging. The core idea behind this is to transform the 3-D coordinate reconstruction problem into a nonlinear least-squares problem. The simulation experiments demonstrate the effectiveness of the proposed method.
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
基于上行链路通信过程的断层双向三维成像和坐标重建方法
集成传感与通信(ISAC)是6G的核心功能之一。因此,必须开发利用现有通信基础设施进行环境重建的传感和成像技术。首次提出了一种基于上行通信过程的层析双基地三维成像与坐标重建方法。本文首先介绍了成像参数与通信系统的关系,以及从通信系统接收到的回波中提取成像回波的方法。然后,提出了基站(BS)-建筑-用户设备(UE)成像场景,推导了基于模型的层析合成孔径雷达(TomoSAR)高程重建原理。最后,由于6G卫星的密集分布,不同于传统的星载或机载系统,成像目标位于近场区域。因此,二维反向投影(BP)成像会扭曲目标的真实空间位置,导致实际位置与图像结果存在差异。针对这一问题,本文提出了一种基于BP近场成像的三维坐标重建算法。其核心思想是将三维坐标重构问题转化为非线性最小二乘问题。仿真实验证明了该方法的有效性。
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
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
期刊最新文献
Occlusion-Resistant Object Detection for Dual-View Airborne Platforms A Novel Real-Time Method for 3D Localization and Magnetic Moment Estimation of Multiple Targets MDCA-Net: Remote sensing image classification based on multi-scale dynamic convolution and attention enhancement PI-SAM: Physics-Informed Segment Anything for Infrared Small Target Detection Source-Driven Global-Local Prototype Contrastive Learning for Hyperspectral Domain Adaptation
×
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:604180095
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