PCA-based Channel Estimation for MIMO Communications
Abstract
In multiple-input multiple-output communications, channel estimation is paramount to keep base stations and users on track. This paper proposes a novel PCA-based-principal component analysis-channel estimation approach for MIMO orthogonal frequency division multiplexing systems. The channel frequency response is firstly estimated with the least squares method, and then PCA is used to filter only the higher singular components of the channel impulse response, which is then converted back to the frequency domain. The proposed approach is compared with the MMSE, the minimum mean square error estimation, in terms of bit error rate versus Eb/N0.
Cite
@article{arxiv.2209.13458,
title = {PCA-based Channel Estimation for MIMO Communications},
author = {Jonathan Aguiar Soares and Kayol Soares Mayer and Pedro Benevenuto Valadares and Dalton Soares Arantes},
journal= {arXiv preprint arXiv:2209.13458},
year = {2023}
}
Comments
5 pages, 7 figures, XL SIMP\'OSIO BRASILEIRO DE TELECOMUNICA\c{C}\~OES E PROCESSAMENTO DE SINAIS (SBrT 2022)