Adaptive blind source separation and equalization for multiple-input/multiple-output systems

In this paper, we investigate adaptive blind source separation and equaliza tion for multiple-input/multiple-output (MIMO) systems. We first analyze th e convergence of the constant modulus algorithm (CMA) used in MIMO systems (MIMO-CMA). Our analysis reveals that the MIMO-CMA equalizer is able to rec over one of the input signals, remove the intersymbol interference (ISI), a nd suppress the other input signals. Furthermore, for the MIMO finite impul se response (FIR) systems satisfying certain conditions, the MIMO-CMA FIR e qualizers are able to perfectly recover one of the system inputs regardless of the initial settings. We then propose a novel algorithm for blind sourc e separation and equalization for MIMO systems. Our theoretical analysis pr oves that the new blind algorithm is able to recover all system inputs simu ltaneously regardless of the initial settings. Finally, computer simulation examples are presented to confirm our analysis and illustrate the effectiv eness of blind source separation and equalization for MIMO systems.