Modeling the process of positioning of radio signal sources in geoinformation systems

Abstract

The application of the tools of the Anylogic simulation model development environment is described, which makes it possible to clearly understand the basic principles of identifying mobile objects that are sources of radio emission. The article presents the main research results of various approaches to solving the problem of positioning radio signal sources based on measuring the level of its power by base stations of wireless data transmission networks. The positioning problem was solved under conditions of high mobility of the radio signal source. To solve the problem, a set of methods was used: trilateration, fuzzy logic, statistical test method (Monte Carlo), splitting method, as well as heuristic. The results obtained were tested in the developed prototypes in the form of simulation models in the Anylogic environment. Field measurements made in real operating conditions of positioning systems were used as initial data. Within the framework of this work, the following main results were obtained: implementation of a complex of modeling algorithms that carry out a number of random processes: motion of radio signal sources and propagation of radio waves; algorithms that implement the analytical calculation of the estimated location area based on various methods. A complex of simulation models of positioning systems has been developed, which makes it possible to visualize the determination of the location of a radio signal source in an urban environment, taking into account its mobility. Conclusions are formulated regarding the results of the conducted research. The scientific significance of the work lies in the development of a heuristic positioning algorithm based on sector partitioning and fuzzy logic. The practical value of the work lies in the development of a set of algorithms and their practical implementation in the form of applications in the Java language for the Anylogic modeling environment, which allow investigating the effectiveness of various predictive algorithms for positioning accuracy.