An intelligent optimization approach to non-stationary interference suppression for wireless networks

In this paper, we propose a new technique to effectively suppress non-stationary interference signal for wireless networks. This technique combines a new scheme of interference signal estimation with the intelligent optimization projection. In order to capture interference signal ʼ s subspace, a time-varying method is used to estimate the non-stationary interference. Orthogonal polynomials are used for the basis function instead of the power of the time to reduce the computational complexity. The interference is then removed from the corrupted signal by subspace projection, resulting in less distortion to the desired signal. The performance of this approach is validated by computer simulation.