Model of Functioning of Information-Control System of Unmanned Car with Different Sensors Channels of Information Interaction

Abstract

The report proposes an approach to the use of numerical methods based on the theory of linear algebra for processing digital information (signals) in informationcontrol systems of unmanned vehicles under conditions of a priori uncertainty. This approach allows for a quantitative assessment of the quality of digitized signals (images), both in a system with an intrasystem reference (reference model with a priori known parameters) and for a system with an external reference (reference model with a priori unknown parameters) signals. The proposed mathematical formalization of the process of processing multi-sensory information, in contrast to the known implementation methods, implements an adaptive approach, taking into account external and internal destabilizing influences (interference), both additive and multiplicative forms of representing a useful and useless input signal, taking into account it’s the physical nature of the origin. At the same time, the problem of assessing the influence of noise as an unhelpful component in the input signal continues to be relevant [3–4], especially in the sense of testing information - control systems of unmanned vehicles at the stage of their synthesis. The presented results of imitation modeling of digital image processing in the MATLAB system demonstrate the adequacy of the adaptive approach to digital signal processing, taking into account external and intrasystem destabilizing factors. At the same time, simulation modeling was limited to a group of spatial noise models (for example Gauss, etc.). This limitation can be solved by additional representation of destabilizing effects by a group of spatial noise models.