A Novel Interference Supression Technique employing Complex Adaptive ICA for Time-Varying Channels in Diversity Wireless QAM Receivers

This paper presents a novel complex adaptive ICA algorithm with individual adaptation of parameters. The algorithm employs optimal individual convergence factors for the real and imaginary components of the weight vector. The performance of this algorithm is tested and compared with the most recent complex fast-ICA in time-varying channel conditions frequently encountered in practice. Simulation results confirm the improved performance, in terms of convergence speed and accuracy, of the proposed technique, at the expense of a modest increase in computational complexity.