Nonlinear spatial separation of multiple sources in adaptive linear arrays

The paper considers the problem of recovering N unknown statistically independent non-Gaussian signals impinging on a linear array. A nonlinear sliding iterative algorithm has been used which may be applied in real time signal processing and provide fast convergence and good performance. By selecting an appropriate iteration number I one may reach a compromise between the convergence speed and implementation complexity.