See-Through Walls With Wi-Fi: Joint Utilization of RSSI and CSI for Enhancing Building Layout Reconstruction

In building layout reconstruction (BLR), electromagnetic wave propagation in indoor environments involves not only direct paths but also multiple non-direct paths 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 paper 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.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-03
DOI
https://doi.org/10.1109/jsen.2025.3555686
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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article

See-Through Walls With Wi-Fi: Joint Utilization of RSSI and CSI for Enhancing Building Layout Reconstruction

Guolong Cui, Jiahui Chen, Shisheng Guo, Nian Li et al.
IEEE Sensors Journal
Indoor and Outdoor Localization Technologies
article

See-Through Walls With Wi-Fi: Joint Utilization of RSSI and CSI for Enhancing Building Layout Reconstruction

Guolong Cui, Jiahui Chen, Shisheng Guo, Nian Li, Xue Huang, Zihan Xu, Fangrui Yu
article en

Abstract

In building layout reconstruction (BLR), electromagnetic wave propagation in indoor environments involves not only direct paths but also multiple non-direct paths 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 paper 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.

IEEE Sensors JournalVol. 25(10)
University of Electronic Science and Technology of China (CN)
Sustainable cities and communities
Openalex Percentile: Top 95%
Indoor and Outdoor Localization Technologies
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