Subjective factors of statistical antenna theory: analysis and simulation

This work deals with problems of convergence between classical (objective) probability theory, subjective probability theory, learning theory and random antenna theory to research random antennas by statistical simulating methods. We demonstrate that statistical simulation initial data determination depends on data type: verified knowledge and subjective axiological knowledge (suppositions concerned with random antennas, characteristics and parameters of random antenna models). Problem of initial data representation (statistical data, experimental data) is one of the main statistic simulation method disadvantage, which may be solved by Monte-Carlo method. Database population by random antenna verified data helps to reduce knowledge uncertainty and to improve statistic simulation efficiency. We considered perspectives of statistic simulating model applications for developing active protection systems for data leakage to outside environment via random antennas.