Tensor-based multi-carrier signal detection in the presence of phase noise

Abstract

PHN (Phase Noise) can lead to CPE (Common Phase Error) and ICI (Inter-carrier Interference) especially in the Multi-Carrier transmission system. Most existing methods usually estimate the PHN by adding redundant pilots and virtual carriers and then recover the signals by the estimated PHN, which decrease the transmission efficiency. A tensor-based signal detection method is proposed to deal with the signals' recovery in wireless communication system with MIMO (Multiple-Input Multiple-Output) and OFDM (Orthogonal Frequency Division Multiplexing). The benefit of the proposed tensor-based method is that it can directly recover the received signals at the base station without estimating the phase noise in advance and can fulfill both the PHN estimation and the signal detection at the same time during the iterations. The proposed method also reduces the number of redundant pilots and virtual carriers, thus improves the data's transmission efficiency. Simulation results indicate that the proposed signal detection method can generate satisfied performance on BER (Bit Error Rate) and demonstrates the effectiveness of the tensor-based communication signal analysis method.