Synthesis of Algorithms for Complex Information Processing of Inertial Navigation System for UV Control in Smart City Model

This paper considers the synthesis of complex information processing algorithms for UAV orientation and navigation tasks based on the optimal Kalman filter. The paper considers the possibility of installing radio beacons in a smart city. These beacons can correct the readings of the inertial navigation system. The presented algorithm of complex information processing allows evaluating the parameters obtained from the onboard navigation system (extrapolation, estimation), including the formation of control signals. The presented approach is able to solve the problem of positioning of unmanned vehicles in the absence of satellite signals. The results of a semi-natural experiment based on the synthesized algorithm are presented.