Study of Noise Immunity at Demodulation of Signal with Structure-Determined Noise

The asymptotically optimal algorithm is considered to distinguish opposite signals with structure-determined noise. The structure-determined noise approximation is offered in a form of the simply-connected Markovian stochastic process. Fisher’s information matrix is calculated and the dependence of noise immunity on noise parameters is found for this noise model. Effects of various factors on a degree of the noise suppression are analyzed.