A new semi-analytical performance prediction of a digital communication system

This paper proposes a new semi-analytical method for estimating the error probability for any digital communication system. We show that the problem of the error probability estimation is equivalent to estimating the conditional probability density function (pdfs) of soft receiver outputs. The proposed method uses Fast Fourier transform inversion for predicting the pdf. Furthermore, we applied Bootstrap criterion for selecting the optimum smoothing parameter which makes this method more accurate. Simulation results have shown that the obtained error probability with the new approach is close to that measured by Monte-Carlo simulation method. © Springer International Publishing Switzerland 2016.