RIS-Aided Single-Frequency 3D Imaging by Exploiting Multi-View Image Correlations

Retrieving range information in three-dimensional (3D) radio imaging is particularly challenging due to the limited communication bandwidth and pilot resources. To address this issue, we consider a reconfigurable intelligent surface (RIS)-aided uplink communication scenario, generating multiple meas...

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Vydáno v:IEEE transactions on communications Ročník 72; číslo 8; s. 5003 - 5018
Hlavní autoři: Huang, Yixuan, Yang, Jie, Wen, Chao-Kai, Jin, Shi
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Anisotropic
anisotropic scattering
Anisotropy
Correlation
Image enhancement
Image resolution
Imaging
Information retrieval
Markov processes
Message passing
near-field multi-view image correlations
Occlusion
occlusion effects
Radar cross sections
Radar imaging
Reconfigurable intelligent surfaces
Scattering
Scattering cross sections
Single-frequency 3D imaging
Three dimensional imaging
Three-dimensional displays
ISSN:0090-6778, 1558-0857
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Shrnutí:Retrieving range information in three-dimensional (3D) radio imaging is particularly challenging due to the limited communication bandwidth and pilot resources. To address this issue, we consider a reconfigurable intelligent surface (RIS)-aided uplink communication scenario, generating multiple measurements through RIS phase adjustment. This study successfully realizes 3D single-frequency imaging by exploiting the near-field multi-view image correlations deduced from user mobility. We first highlight the significance of considering anisotropy in multi-view image formation by investigating radar cross-section properties and diffraction resolution limits. We then propose a novel model for joint multi-view 3D imaging that incorporates occlusion effects and anisotropic scattering. These factors lead to slow image support variation and smooth coefficient evolution, which are mathematically modeled as Markov processes. Based on this model, we employ the Expectation Maximization-Turbo-Generalized Approximate Message Passing algorithm for joint multi-view single-frequency 3D imaging with limited measurements. Simulation results reveal the superiority of joint multi-view imaging in terms of enhanced imaging ranges, accuracies, and anisotropy characterization compared to single-view imaging. Combining adjacent observations for joint multi-view imaging enables a reduction in the measurement overhead by 80%.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2024.3379351