Detection of nonlinearly distorted signals using mutual information

The traditional matched filter is the optimal signal detector under quite restrictive conditions, such as linearity and Gaussianity. In this paper, a nonlinear filter topology based on mutual information is proposed to exploit higher order statistics instead of linear second-order measures. Results demonstrate superior performance in nonlinear amplitude and temporal signal distortion situations.