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This paper describes integrated navigation system that is based on a low cost inertial sensor, global positioning system (GPS) receiver, magnetometer and a barometer, in order to improve accuracy of complete attitude and navigation solution. The main advantage of integration consists in availability of reliable navigation parameters during the intervals of absence of GPS data. The magnetometer and the barometer are applied for the attitude calibration and vertical channel stabilization, respectively. The acceptable accuracy of inertial navigation system (INS) is achieved by the proper damping of INS errors. The integration is made by the implementation of an extended Kalman filter (EKF) with control signal that is designed appropriate for low accuracy sensors noise characteristics. The analysis of integrated navigation system performances is made experimentally and the results show that integrated navigation system provides continuous and reliable navigation solutions.

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Integrated navigation systems are widely used in all aspects of life, i.e. in various civilian and military applications. In the previous two decades, most of the attention in this area has been directed toward the use of low-cost sensors, which are characterized by the low accuracy. Therefore, many algorithms have been developed to implement inertial sensor errors damping, which are based on the integration of inertial sensors with the external sources of information (GPS receivers, magnetometers, barometers, etc.) or mathematical models developed for the self-damping of inertial sensors errors. This paper proposes a specific method of gyroscope drift compensation by using a PI controller based on the magnetometer measurements, as well as a method of errors compensation in the horizontal channel of navigation system by using the adaptive control signals. The experimental results obtained for the proposed solutions presented in this paper confirmed the possibility of the successful application of these solutions in the real-world environment.

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