Jean C. S. Ferreira, Melryllin G. O. Sousa
This paper proposes a parameter estimation scheme for uplink MIMO systems assisted by a Hybrid Reconfigurable Intelligent Surface (HRIS). To reduce hardware complexity, the HRIS employs a small number of active elements arranged in a sparse coprime geometry for local sensing, while the remaining elements passively reflect signals. This simultaneous sensing and reflection significantly improves accuracy over fully passive architectures. The method leverages Khatri-Rao and Kronecker factorizations to efficiently decouple the cascaded channel at the base station. Furthermore, spatial smoothing resolves the coprime array rank deficiency, enabling robust angular extraction via Root-MUSIC. Simulations demonstrate highly resilient estimation performance across scenarios.
@article{986b2424-735f-478a-a8c3-f89bac67473d,
title={2026 Ferreira HRIS MIMO Channel Estimation},
author={Jean C. S. Ferreira and Melryllin G. O. Sousa},
year={2026},
language={en}
}TY - JOUR TI - 2026 Ferreira HRIS MIMO Channel Estimation AU - Jean C. S. Ferreira AU - Melryllin G. O. Sousa PY - 2026 LA - en ER -
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