Detection in impulsive noise based on robust whitening

Despite the widespread use of the additive Gaussian noise model, it has long been recognized that many important environments are distinctly nonGaussian. The authors present a detector which is designed to operate in a correlated plus impulsive noise environment. The detector robustly whitens the data and then uses a two-sided threshold test to determine the presence of impulsive samples. The impulsive samples are discarded and the remaining samples are used to detect the presence or absence of a signal using a matched filter. An approximate analysis is presented and simulations are used to demonstrate the effectiveness of this approach.>