Abstract: The effect of impulse noise rejection with median filter (MEF) on binary digital receiver performance is relatively easy to estimate [1]. But, problems arise if the real additive noise model is assumed in the channel analysis, where, besides the impulse noise, Gaussian noise exists, too. In this paper we have chosen a convenient additive noise model, calculated the error probability as a function of all relevant model parameters and, finally, estimated the effects of combined impulse and Gaussian noise rejection with MEF on binary digital receiver performance. We have shown that, by using MEF, one can significantly reduce the error probability of combined impulse and Gaussian noise and that the value of error probability reduction factor depends on the area of dominant influence of the particular noise component.
Keywords: Impulse noise, median filter, digitali receiver, Gaussian noise, signal to noise ratio.