The methodological approaches to the use of genetic algorithm for the synthesis of the rational structure of the radar surveillance system are proposed in the paper. The structure of the radar surveillance system is presented in the form of an incidence matrix, which is used as a chromosome by the operators of the genetic algorithm. This matrix is used as a chromosome by the operators of the genetic algorithm. The elements of the incidence matrix that describe the relationships between the elements of the structure of the observation system are genes in the genetic algorithm. In each cycle of the genetic algorithm, a pair of chromosomes is paired, during which part of the genes are exchanged, which for the system under study means the appearance and disappearance of the corresponding connections between the elements. The calculation of the values of the efficiency of radar surveillance for each variant of the structure is proposed to be carried out using the ant colony optimization. The gain in the value of the conditional probability of correct detection with a fixed probability of false alarm is approximately 10% Keywords— genetic algorithm, artificial intelligence, optimization, route, radar surveillance system.

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It was shown the possibility of determining the coordinates of air objects during the combination of information from radars and ADS-B receiver system with MLAT technology use in the presence of a large number of targets, with additional use of correlation processing of received signals. Was analyzed the factors influencing the accuracy of determining the coordinates of air objects, a brief analysis of the capabilities of ADS-B technology. The advantages of correlation processing of received signals with additional MLAT technology use is the ability to determine the coordinates of air objects with high accuracy in the presence of a large number of targets.

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