recognition of MPSK (2, 4, and 8) signals in broad-band Gaussian noise. Presented method
is based on constellation rotation of the received symbols, and a 4th order cumulant of a 1D
distribution of the signal's in-phase component. Using Fourier series expansion of this
cumulant as a function of the rotation angle, we extract invariant features which are then
used in a neural classifier. Discrimination power of the proposed set of features is verified …