Multiple Antenna Wireless Communication Signal Blind Recovery Based on PARAFAC Decomposition

Multiple antenna signals in wireless communication system form into a kind of multiple dimension array signal from the view of time, frequency and space factors which can be modelled and processed by tensor analysis method. This paper focuses on the application of PARAFAC-based tensor decomposition method in solving the problem of signal blind recovery in MIMO-OFDM wireless communication system. The received signal of MIMO-OFDM system can be viewed as a multidimensional array. PARAFAC decomposition is applied for blind recovery of the received signal with unknown CSI (Channel State Information) and CFO (Carrier Frequency Offset). Simulation results show that the proposed scheme performs better under high SNR and small symbol collection, which turns out to verify the blind recovery method based on the PARAFAC decomposition.