A robust detector for impulsive noise environment

This paper proposes a robust detector for detection of known signals in impulsive noise environment. The impulsive noise is assumed to be present in addition to the usual additive white Gaussian noise and is modeled as a uniformly distributed random variable that appears with a certain probability. In the paper the detector for the aforementioned noise model is derived and its performance is investigated. It is shown that the detector outperforms the usual matched filter detector in case the impulsive noise is present while the performance is similar to that of matched filter in absence of the impulsive noise.