Compressive Cascaded Channel Covariance Sensing for UPA-Type RIS-Aided Dual-Wideband Systems

Date

2025-01-01

Author

Ozen, Hakan
Güvensen, Gökhan Muzaffer

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This letter introduces a novel cascaded channel covariance matrix (C-CCM) estimation method for millimeter wave (mmWave) uniform planar array (UPA)-type reconfigurable intelligent surface (RIS)-aided dual-wideband multiple-input multiple-output (MIMO) systems. We formulate C-CCM estimation as a compressive covariance sensing problem and propose a beam-squint-aware (BSA) cascaded covariance orthogonal matching pursuit (CC-OMP) algorithm. The CC-OMP estimates large-size spatial C-CCMs from small-size temporal covariance matrices derived from the received signals. Simulation results demonstrate the superiority of the CC-OMP over state-of-the-art approaches in terms of normalized mean square error (NMSE).

Subject Keywords

Beam squint effect, Cascaded channel covariance estimation, Compressive covariance sensing, MIMO, RIS

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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105013288672&origin=inward
https://hdl.handle.net/11511/115843

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Department of Electrical and Electronics Engineering, Article