Variable step-size blind source separation algorithm based on orthogonal gradient

Combined with natural gradient algorithm and FASTICA method, orthogonal algorithm was proposed for blind source separation. the algorithm by using the natural gradient algorithm iterative form and independent component analysis orthogonalization process, realizes the separation matrix in orthogonal space search. At the same time, the design of a new variable step size algorithm, which makes the step size in the iterative process of adaptive regulation, to further improve the performance of the algorithm. The simulation results prove that, variable step orthogonal gradient algorithm and the natural gradient algorithm and FASTICA algorithm, has better convergence speed and convergence performance.