Exploiting independence for co-channel interference cancellation and symbol detection in multiuser digital communications

In the blind equalization of multi-input multi-output (MIMO) finite impulse response communication channels, co-channel interference (CCI) is typically cancelled by exploiting the properties of digital modulations, such as their finite alphabet (FA). This contribution takes advantage of the mutual independence of the users´ signals through the application of independent component analysis (ICA). We demonstrate that ICA-based CCI suppression remarkably improves an FA-based approach. In addition, proposed ICA-assisted minimum mean square error receivers are shown to enhance the conventional detection capabilities of MIMO equalization methods relying on channel identification. The particular structure of the MIMO model yields a simplified detection scheme with improved performance at a reduced computational cost.