Optimum Block Adaptive Algorithm For Gradient Based Independent Component Analysis(Oba/Ica) For Time Varying Wireless Channels

The fixed-point Independent Component Analysis (ICA) algorithm is widely used because of its fast convergence under static conditions. However, in a highly dynamic environment, it lacks the ability to adapt to the time variation of the mixing matrix. This paper develops an Optimum Block Adaptation ICA algorithm (OBA/ICA) that is capable of tracking time variation. Simulation results for mobile telecommunication applications indicate that the resulting performance, particularly with respect to convergence properties, is superior to Fast-ICA under dynamic channel conditions.