Study on Data Fusion Algorithm in High Dynamic GPS/INS Integrated Navigation System

Abstract:

This document explains how to aim at low-precision in navigation and position of Inertial Navigation System and dependence of Global Positioning System. A combination of these two systems provides good compensations for each other. GPS/INS integrated navigation system in high dynamic environment is studied, an integrated algorithm based on the pseudo-range and pseudo-range rate is introduced. By analyzing the error model of INS and GPS navigation systems, the state equation and the observation equation are founded. Finally, data fusion algorithm is simulated using kalman filtering algorithm, simulation results show that the data fusion algorithm can improve reliability and maturity of integrated navigation system.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 2280-2283
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.2280
• Online since: November 2012
• Authors: You Yi Ye, Xiang Zhao
• Keywords: GPS, Inertial Navigation System (INS), Integrated Navigation System, Kalman Filter (KF), Positioning Precision

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