A mathematical model of navigational information integration is considered. Such information is obtained from gyroscopic angular velocity sensors and GLONASS-type satellite navigation system using onboard multiposotional receiver. Integrated system operates as real-time computational artificial neural network and realizes the dynamic Kalman-type inversion algorithm with imitation of biological (“alive”) neurons self-organization mechanism. The results of a numerical simulation are presented.