Use of Bigaussian approximation to describe fading in scattering communications channel

An algorithm is presented for the analytical description of the statistical properties of fading in a scattering radio channel. Two Gaussian random processes W1 (x) and W2 (x) with parameters a1, delta 1, a2, delta 2, respectively where a1; delta 1- mathematical expectation, as the expression approximating the arbitrary probability density W*(x) of the composition are considered. A graph analytical method is proposed for estimating the parameters a sub 1, a sub 2, delta and lambda from the known estimates of the moments of the empirical distribution described. The proposed method is used to describe the real statistics of signal level variation in a troposcatter radio channel as an example.