Channel Estimation for RIS-Assisted MIMO Systems in Millimeter Wave Communications.
Sensors (Basel)
; 23(12)2023 Jun 12.
Article
en En
| MEDLINE
| ID: mdl-37420681
ABSTRACT
The large number of estimated parameters in a reconfigurable intelligent surface (RIS) makes it difficult to achieve accurate channel estimation accuracy in 6G. Therefore, we suggest a novel two-phase channel estimation framework for uplink multiuser communication. In this context, we propose an orthogonal matching pursuit (OMP)-based linear minimum mean square error (LMMSE) channel estimation approach. The OMP algorithm is used in the proposed algorithm to update the support set and pick the columns of the sensing matrix that are most correlated with the residual signal, which successfully reduces pilot overhead by removing redundancy. Here, we use LMMSE's advantages for handling noise to address the problem of inadequate channel estimation accuracy when the signal-to-noise ratio (SNR) is low. Simulation findings demonstrate that the proposed approach outperforms least-squares (LS), traditional OMP, and other OMP-based algorithms in terms of estimate accuracy.
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Banco de datos:
MEDLINE
Asunto principal:
Algoritmos
Tipo de estudio:
Prognostic_studies
Idioma:
En
Año:
2023
Tipo del documento:
Article