Narrowband interference suppression via nonlinear estimation

Kostas N. Plataniotis, Anastasios N. Venetsanopoulos

Abstract: The problem of narrowband interference suppression in impulsive noise environments is considered. To suppress the interference we introduce a new nonlinear estimator. The proposed estimator can be applied to any discrete time, linear system which is observed in additive non-Gaussian measurement noise. The new filter is recursive, computationally efficient and with significantly improved performance over other linear and nonlinear schemes which are currently used for interference suppression.