Fast-converging complex adaptive algorithm for diversity wireless receivers in linearly fading channels

In wireless communications, fixed-point complex independent component analysis (ICA) algorithms have been applied to perform separation of complex signals. Presented is a novel complex adaptive ICA algorithm which employs individual convergence factors for the real and imaginary components of the weight vector. For wireless receivers operating on quadrature amplitude modulation, the adaptive algorithm performs better than the existing complex fast-ICA algorithm in terms of accuracy. Computer simulations confirm the effectiveness of the proposed algorithm.