Control of Observations in Pulse Information Systems

Currently, within the framework of the classical theory of observation management, approaches to the issues of optimal control of measurement processes in information systems are well developed. The use of linear filtering algorithms in problems of estimating information processes will make it possible to plan observations prior to measurements based on a priori models state and observation. However, in the classical theory of management of observations, it is assumed that the time of the appearance and disappearance of information processes is known in advance, on the basis of this and the plan of observations is built. However, in practice, real points in time of the appearance and disappearance of information processes may differ significantly from the calculated values. Therefore, research to take into account the random nature of the emergence and disappearance of information processes is relevant. When using linear filtering, you can get averaged a priori plan of observations. However, in a real situation, such a plan needs to be adjusted directly in the observation process.This article is devoted to the practical application of the results of a priori planning of observations on the example of a pulsed information system when observing the flow of processes appearing at random points in time.As a result of research conducted in the article, the possibility of obtaining a significant gain in accuracy (compared to a uniform tracking mode) when filtering information processes in pulse information systems has been revealed.