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Autores principales: Zhi, Lanqing, Wang, Hongwei, Li, Lingxiang, Chen, Zhi
Formato: Preprint
Publicado: 2026
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Acceso en línea:https://arxiv.org/abs/2603.21709
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author Zhi, Lanqing
Wang, Hongwei
Li, Lingxiang
Chen, Zhi
author_facet Zhi, Lanqing
Wang, Hongwei
Li, Lingxiang
Chen, Zhi
contents This paper studies wideband channel estimation for OFDM systems assisted by extremely large RIS (XL-RIS). Due to the large aperture of XL-RISs, the user equipment may operate in the near-field region, while the base station-XL-RIS link remains in the far field, leading to a cascaded channel with hybrid near-field and far-field characteristics. Moreover, wideband effects further complicate channel estimation in mmWave/THz systems. To address these challenges, we propose a frequency-independent orthogonal dictionary by augmenting the discrete Fourier transform (DFT) matrix with additional parameters, which enables an efficient representation of the wideband cascaded channel using a two-dimensional block-sparse structure. Based on this property, the considered channel estimation problem is effectively solved within a tailored compressed sensing framework. Simulation results demonstrate that the proposed method significantly outperforms conventional polar-domain channel estimation approaches in terms of estimation accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_2603_21709
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Near-Field Wideband Channel Estimation for Extremely Large-Scale RIS-Aided Communication Systems
Zhi, Lanqing
Wang, Hongwei
Li, Lingxiang
Chen, Zhi
Signal Processing
This paper studies wideband channel estimation for OFDM systems assisted by extremely large RIS (XL-RIS). Due to the large aperture of XL-RISs, the user equipment may operate in the near-field region, while the base station-XL-RIS link remains in the far field, leading to a cascaded channel with hybrid near-field and far-field characteristics. Moreover, wideband effects further complicate channel estimation in mmWave/THz systems. To address these challenges, we propose a frequency-independent orthogonal dictionary by augmenting the discrete Fourier transform (DFT) matrix with additional parameters, which enables an efficient representation of the wideband cascaded channel using a two-dimensional block-sparse structure. Based on this property, the considered channel estimation problem is effectively solved within a tailored compressed sensing framework. Simulation results demonstrate that the proposed method significantly outperforms conventional polar-domain channel estimation approaches in terms of estimation accuracy.
title Near-Field Wideband Channel Estimation for Extremely Large-Scale RIS-Aided Communication Systems
topic Signal Processing
url https://arxiv.org/abs/2603.21709