The object of this research is the process of segmentation of camouflaged military equipment in images from space surveillance systems. The method of segmentation of camouflaged military equipment in images from space surveillance systems has been improved using a genetic algorithm. Unlike known methods, the method of segmentation of camouflaged military equipment using a genetic algorithm involves the following: – highlighting brightness channels in the Red-Green-Blue color space; – the use of a genetic algorithm in the image in each channel of brightness of the RGB color space; – image segmentation is reduced to the formation of generations and populations of chromosomes, the calculation of the objective function, selection, crossing, mutation, and decoding of chromosomes in each brightness channel of the Red-Green-Blue color space. Experimental studies were conducted on the segmentation of camouflaged military equipment using a genetic algorithm. It is established that the improved method of segmentation using a genetic algorithm makes it possible to segment images from space surveillance systems. A comparison of the quality of segmentation was carried out. It is established that the improved method of segmentation using a genetic algorithm reduces segmentation errors in the following way: – compared to the known k-means method, by an average of 15 % of errors of the first kind and an average of 7 % of errors of the second kind; – compared to the method of segmentation based on the algorithm of swarm of particles, by an average of 3.8 % of errors of the first kind and an average of 2.9 % of errors of the second kind. The improved segmentation method using a genetic algorithm can be implemented in software and hardware imaging systems from space surveillance systems

The features of modern military conflicts require significantly increasing requirements for the efficiency of determining a rational route for the transmission of information. It is necessary to develop algorithms (methods and techniques) that are able for a limited time and with a high degree of reliability to determine the rational route of information transmission in complex hierarchical information transmission systems. The following tasks were solved in the research: the task of information transfer in special purpose networks was set; the algorithm of realization of a method of efficiency increase of information transfer is defined; simulation of the process of information transfer in the communication networks of a group of troops (forces) was carried out. The essence of the proposed method is to use the ant algorithm and their further training. The method has the following sequence of actions: input of initial data; determining the degree of uncertainty and noise of the original data, determining the set of acceptable solutions, determining belonging to a certain class. The next step is to determine the route of information transfer, taking into account the impact of destabilizing factors, taking into account computing power and training ants. The novelty of the method is to take into account the type of uncertainty and noise in the data and take into account the available computing resources of the communication network. The novelty of the method also lies in the use of advanced training procedures using the apparatus of evolving artificial neural networks and selective use of system resources by connecting only the required number of agents (ants). The method allows to build a rational route of information transfer taking into account the influence of destabilizing factors. The use of the method allows to achieve an increase in the efficiency of information transfer at the level of 11-16% through the use of additional advanced procedures

Satellite navigation technologies are widely used around the world. Existing systems are constantly being upgraded, new satellites are being launched, satellite signals are being improved, military signals that are more resistant to interference are being gated in, ground-based navigation systems are being deployed, and the characteristics of GNSS user equipment are being improved. The effectiveness of GNSS user equipment is influenced by many different factors - from its internal circuit to the signal transmission medium where it is used. Testing of GNSS equipment consists in characterization of system performance and ensuring that manufacturer quality standards are met and expectations of the end user are satisfied. The solution of problems related to the testing of GNSS user equipment is the use of such equipment as simulators, GNSS signal recording and reproduction equipment, broad spectrum signal generation equipment, software for testing GNSS user equipment in laboratory conditions. The abovementioned equipment makes it possible to fully automate the test process by repeatedly performing user-defined scenarios. The use of signal generators for GNSS simulation has advantages over the use of a live GNSS signal. When using live signals the test conditions change constantly and unpredictably, therefore it is unlikely that two identical sequential tests will be performed under the same conditions. Retest is the most important requirement for the test process. The article deals with methods improvement and proposes the choice for rational equipment composition for GNSS user testing equipment.

No abstract