STOCHASTIC APPROACH TO OPTIMIZE THE SETTING OF RADIOLOCATION STATIONS AT REPAIR

The structure of stochastic approximation methods is appropriate for realization in linear and non-linear stationary processes. Their application in optimization of pulses from radiolocation stations (RLS) is determined by the actual conditions of uncertainty (presence of noise and incomplete information about output data). Stochastic models of optimization are usually more adequate to real conditions with their choice of solution than determinate formulations of the extreme tasks. It applies to the optimization of impulse parameters that have static mode of operation of the electronic stage i.e., the circuit function is an algebraic equation. There is a simple and reliable algorithm enough to link the circuit function to the setting area of the existing element. Taking into account the nature of the respective real phenomena it is found that the most convenient method is the stochastic approximation. Practically, the degree of influence of the individual elements on the parameter of the set pulse, as well as the order of variation of the radio elements (R* and C*) is determined, which facilitates the practical realization of the algorithms at repair.