Linear precoding aided blind equalization with independent component analysis in MIMO OFDM systems

We propose a novel blind equalization structure based on independent component analysis (ICA) for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. A linear precoding is exploited to resolve completely the phase and permutation ambiguity of the ICA model, by using the correlation between the source data and the reference data. Furthermore, iterative channel interpolation is employed to improve the channel estimation accuracy of ICA, and is incorporated with minimum mean square error (MMSE) based equalization and layered space-frequency equalization (LSFE) to enhance the system performance. Simulation results show that the proposed blind OFDM receivers significantly outperform the existing subspace method, and provide a performance close to the case with perfect channel state information (CSI).