ALGORITHMS OF DIMENSIONAL MODELING OF FOLLOWING MEASURING SYSTEMS OF SELF-WATER SYSTEMS

Abstract

Algorithms for seminatural stochastic (statistical) modeling of tracking gauges of homing systems are intended for use in models of guided missiles of information about angular errors of homing heads recorded in real conditions of use. Such information is obtained by processing the data of field experiments. Algorithms provide reproduction of signals at the output of angular measurements, which are closest to the signals observed in field experiments. To achieve the coincidence of the reproduced angular errors with errors recorded in the actual conditions of the use of guided missiles, data on the phase coordinates of the homing heads, such as expectation and dispersion of angular errors, are used. Information on angular errors is placed in a specialized two-dimensional database of angular errors. The target coordinates of the database and the angular velocity of the line of sight of the target, which are the components of the vector of signs of the phase coordinates, are used as the address coordinates of the database. An example of a comparative evaluation of three possible stochastic modeling algorithms is given. The assessment was performed using the information quality indicator in the form of a percentage of the decrease in relative conditional entropy. For the considered example, it is shown that the algorithm using the quadratic prediction of changes in the signs of phase coordinates has advantages over the algorithm for linear prediction and the algorithm for selecting the “closest” value of the signs of phase coordinates.