带Wi-Fi的透视墙:RSSI和CSI联合应用,增强建筑布局改造

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jiahui Chen;Shisheng Guo;Fangrui Yu;Zihan Xu;Xue Huang;Nian Li;Guolong Cui
{"title":"带Wi-Fi的透视墙:RSSI和CSI联合应用,增强建筑布局改造","authors":"Jiahui Chen;Shisheng Guo;Fangrui Yu;Zihan Xu;Xue Huang;Nian Li;Guolong Cui","doi":"10.1109/JSEN.2025.3555686","DOIUrl":null,"url":null,"abstract":"In building layout reconstruction (BLR), electromagnetic (EM) wave propagation in indoor environments involves not only direct paths (DPs) but also multiple non-DPs due to reflections, diffractions, and scattering. Traditionally, received signal strength indicator (RSSI)-based methods have been employed for BLR. However, RSSI is highly susceptible to multipath interference, leading to degraded reconstruction accuracy. To address this limitation, this article leverages the fine-grained characterization capabilities of channel state information (CSI) to mitigate the weaknesses of RSSI in multipath environments. Specifically, we propose a novel method that integrates CSI phase fluctuations with RSSI measurements to achieve high-quality BLR for various building structures. This approach enables the independent reconstruction of different building features, which are subsequently fused to enhance the overall BLR image. Experimental results demonstrate that, compared to conventional RSSI-based BLR methods, the proposed approach significantly reduces multipath interference, resulting in improved reconstruction accuracy.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 10","pages":"17717-17726"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"See-Through Walls With Wi-Fi: Joint Utilization of RSSI and CSI for Enhancing Building Layout Reconstruction\",\"authors\":\"Jiahui Chen;Shisheng Guo;Fangrui Yu;Zihan Xu;Xue Huang;Nian Li;Guolong Cui\",\"doi\":\"10.1109/JSEN.2025.3555686\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In building layout reconstruction (BLR), electromagnetic (EM) wave propagation in indoor environments involves not only direct paths (DPs) but also multiple non-DPs due to reflections, diffractions, and scattering. Traditionally, received signal strength indicator (RSSI)-based methods have been employed for BLR. However, RSSI is highly susceptible to multipath interference, leading to degraded reconstruction accuracy. To address this limitation, this article leverages the fine-grained characterization capabilities of channel state information (CSI) to mitigate the weaknesses of RSSI in multipath environments. Specifically, we propose a novel method that integrates CSI phase fluctuations with RSSI measurements to achieve high-quality BLR for various building structures. This approach enables the independent reconstruction of different building features, which are subsequently fused to enhance the overall BLR image. Experimental results demonstrate that, compared to conventional RSSI-based BLR methods, the proposed approach significantly reduces multipath interference, resulting in improved reconstruction accuracy.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 10\",\"pages\":\"17717-17726\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10948878/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10948878/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

在建筑布局重建(BLR)中,电磁波在室内环境中的传播不仅涉及直接路径(DPs),还涉及反射、衍射和散射等多种非DPs。传统上,基于接收信号强度指标(RSSI)的方法被用于BLR。然而,RSSI极易受到多径干扰,导致重建精度下降。为了解决这一限制,本文利用通道状态信息(CSI)的细粒度表征功能来减轻RSSI在多路径环境中的弱点。具体而言,我们提出了一种将CSI相位波动与RSSI测量相结合的新方法,以实现各种建筑结构的高质量BLR。这种方法能够独立重建不同的建筑特征,随后融合以增强整体BLR图像。实验结果表明,与传统的基于rssi的BLR方法相比,该方法显著降低了多径干扰,提高了重建精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
See-Through Walls With Wi-Fi: Joint Utilization of RSSI and CSI for Enhancing Building Layout Reconstruction
In building layout reconstruction (BLR), electromagnetic (EM) wave propagation in indoor environments involves not only direct paths (DPs) but also multiple non-DPs due to reflections, diffractions, and scattering. Traditionally, received signal strength indicator (RSSI)-based methods have been employed for BLR. However, RSSI is highly susceptible to multipath interference, leading to degraded reconstruction accuracy. To address this limitation, this article leverages the fine-grained characterization capabilities of channel state information (CSI) to mitigate the weaknesses of RSSI in multipath environments. Specifically, we propose a novel method that integrates CSI phase fluctuations with RSSI measurements to achieve high-quality BLR for various building structures. This approach enables the independent reconstruction of different building features, which are subsequently fused to enhance the overall BLR image. Experimental results demonstrate that, compared to conventional RSSI-based BLR methods, the proposed approach significantly reduces multipath interference, resulting in improved reconstruction accuracy.
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
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
×
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