Modern ultra-tight integration structure of strapdown inertial systems and global positioning system, based on the linearization of the navigation measurements and linearization of measurement errors models, are not not applicable for motor vehicles navigation. The adequate standard stochastic model of the vehicle perturbed motion has been synthesized. The model can be used for the integration Kalman filter. Such correlations can result in poor real-time estimation accuracy of navigation parameters of motor vehicle.

Keywords: motor vehicle, stochastic model, integration structure of strapdown inertial systems and global positioning system

The existing approaches to the integration of relatively cheap strapdown inertial navigation system (SINS) based on MEMS-based technology and satellite navigation systems (SNS) are ineffective in relation to motor vehicles. We consider the iterative algorithm for the loosely coupled mode of integration of heterogeneous navigation systems do not intend to use the optimal estimation. The solution is obtained on the basis of the fully nonlinear model of the navigation system of the vehicle and the, therefore, is valid for arbitrary and unknown in advance nature of his movements, and, in the most general assumptions about the level of disturbances acting upon him.

Keywords: vehicle, integrated inertial navigation satellite system, loosely coupled iterative algorithm