Abstract
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.

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