Improving accuracy of assessment navigation system errors with the help of Kalman filter in navigation systems of hybrid nature

Authors: Zhao Xueting
Published in issue: #6(35)/2019
DOI: 10.18698/2541-8009-2019-6-495
Category: Instrument Engineering, Metrology, Information-Measuring Instruments and Systems | Chapter: Instruments and Measuring Methods
Keywords: Kalman filter, algorithm, estimation accuracy, hybrid system, aircraft, mathematical models, inertial navigation system, satellite navigation system
Published: 26.06.2019

In this paper, the author considered the problems of improving the accuracy of estimating errors in the navigation system of hybrid nature. In addition, the author presented Kalman filter equations describing a dynamic object and explained the procedure for Kalman filter. The advantages are revealed and the necessity of using a hybrid system consisting of inertial and satellite navigation system (INS and SNS). A scheme for correcting INS from GPS using Kalman filter model is shown. The principle of increasing the accuracy of navigation definitions is shown. Give special consideration to modeling using MATLAB. A simulation of the process of estimating INS errors in determining the velocity, angels of deviations of GPS with respect to the accompanying triangle and the drift velocity of GSP. The author analyzed the simulation results and proved the efficiency of this algorithmic method.

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