PCA-based Channel Estimation for MIMO Communications

Jonathan Aguiar Soares, Kayol Mayer, Pedro Valadares, Dalton Arantes

DOI: 10.14209/sbrt.2022.1570825011

Evento: XL Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2022)

Keywords: MIMO OFDM Channel Estimation Principal Component Analysis

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 frequency domain. The proposed approach is compared with the MMSE, the minimum mean square error estimation, in terms of bit error rate versus E_b/N_0.

Download