Tensor-Based Semi-Blind Receiver for Channel and Symbol Estimation in Frequency-Selective MIMO Systems with Phase Noise Impairments

Paulo Gomes, Bruno Sokal, André de Almeida

DOI: 10.14209/SBRT.2020.1570661432

Evento: XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2020)

Keywords: MIMO systems joint channel and symbol estimation PARAFAC decomposition

Abstract

In this paper, we propose a two-stage tensor-based semi-blind receiver for joint channel, phase noise (PN) and symbol estimation for frequency-selective MIMO systems in the presence of PN impairments. In the first stage, the frequency-selective MIMO channel is directly estimated through a tensor-based alternating least squares (ALS) algorithm that fits a PARAFAC model to the noisy received signal. In the second stage, the closed-form least squares Khatri-Rao factorization (LS-KRF) approach is used to extract the PN components at both the transmitter and receiver to be compensated for symbol detection. The proposed receiver has a satisfactory performance compared to the state-of-the-art receivers in terms of symbol error rate (SER). On the other hand, it provides high accuracy individual estimates for the channel and PN, presenting thus a clear advantage over the aforementioned receivers.

Download