Research of optimal pulse signal reception quality by mean risk minimum criterion with action of Gaussian and non-Gaussian noise

The potential noise immunity of binary message extraction is investigated when white Gaussian noise or one of three Johnson's noise is acting. The informative signal detection probability by developed optimal receiving algorithm according to the criterion of the mean risk minimum is used as Indicator of noise immunity assessment. The developed algorithm has been simulated in Simulink software on conditions of a priori knowledge completeness including the knowledge about the message arrival time, the signal amplitude, pulse duration except the information about pulse presence. For given results of numerical simulation and theoretical calculations it is shown the Gaussian noise has the highest masking effect compared to the non-Gaussian noise. The quality gain in the optimum reception for non-Gaussian noise is up to 50 dB compared with the Gaussian for a given signal to noise ratio. The receiver implementation requires a large amount of a priori information about interference and signal.