Adaptive noise canceler for narrowband/wideband interferences using higher-order statistics

A higher-order statistics-based adaptive interference canceler is introduced to eliminate additive narrowband and wideband interferences in environments where the interference is non-Gaussian and a reference signal, which is highly correlated with the interference, is available. The proposed scheme is independent of Gaussian uncorrelated noise sources and insensitive to the reference signal statistics and the choice of step size. Simulations demonstrate that the higher-order statistics-based adaptive algorithm performs more effectively than the second-order statistics-based adaptive algorithm not only for single and multiple narrowband interferences with/without Gaussian uncorrelated noise sources but also for wideband (AM and FM) interferences.<>