Algorithms of FM signal nonlinear filtering on a background of FM interference and white noise, obtained by means of a Gaussian approximation of the filtered-parameter a posteriori distributions, are compared with the results of stochastic modeling. An analysis is carried out for one- and two-channel observations. The sensitivity of the compensation algorithm to changes in the a priori interference model parameters is estimated.