Discrete-Continuous Stochastic Model of Behavior Algorithm of Surveillance and Target Acquisition System
Oleksandr Shkiliuk, Bohdan Volochiy, Ivan Petliuk · 2019
This paper presents discrete-continuous stochastic model for solving tasks of multivariate analysis of efficiency index and synthesis of functionality indexes of ground surveillance and target acquisition system. Surveillance and target acquisition system consists of passive and active radio electronic subsys- tems – reconnaissance units. As an efficiency index it is considered the proba- bility of successful execution of task (detection and recognition of an object that is situated on controlled territory) within specified time interval. In the pro- posed model it is considered such features of the surveillance and target acqui- sition system as structure of the investigated system, the functionality indexes of its units and functional behavior. For construction of this model the advanced technology for modeling algorithms of information systems behavior was used. This technology represents a researched object by a structural automatic model. Available software tool automates the processes of constructing the graph of states and transitions and formation of an analytic model in the form of system of linear Chapman-Kolmogorov differential equations. The acceptable level of particularization of behavior of the surveillance and target acquisition system is determined only by known information about it. This discrete-continuous sto- chastic model enables increasing certainty for development of information- driven system for automation of the process of detection and recognition of ob- jects for reconnaissance.