The Technology for Integrating Observation Results with Sensors of Various Physical Fields with Automatic Guidance of Unmanned Aerial Vehicles at a Given Point

Abstract

With the application of the theory of nonlinear filtering of conditioned Markov processes, a quasi-linear algorithm for automatically directing an unmanned aerial vehicle was synthesized. On the basis of the obtained algorithm, a method is defined for combining the results of observations in various physical fields and ranges of the wavelengths of the eigen and reflected radiation. On the basis of the algorithm, in the Gaussian approximation, the potential for accuracy of tracking of an automatic complex system of sensors is established.