Research on design means of GPS/INS integrated navigation system

Chunmei Huang; Yantao Tian; Lihua Liu; Zhilong Ma

doi:10.1117/12.717829

28 October 2006 Research on design means of GPS/INS integrated navigation system

Chunmei Huang, Yantao Tian, Lihua Liu, Zhilong Ma

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 635819 (2006) https://doi.org/10.1117/12.717829
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Two kinds of design methods of GPS/INS integrated navigation system are presented, that is GPS/INS integrative system and integrated navigation system based on information fusion. By analyzing mathematics model of the first system error, we found that inertia velocity error would cause code loop track error. Consequently, the pseudo range meterage error is interrelated with inertia velocity error, which is complex to calculate. If this relativity is ignored in the state equation and observation equation of this system, it must affect the estimated precision of the Kalman filter and maybe the system is unstable. Therefore, the second integrated navigation method is introduced. It adopts information fusion, federated Kalman filter and covariance. And consider the above pertinence to analyze the navigation performance of the integration system. Then it gives the flow of federated Kalman filter emluator. By analyzing, the conclusion is that velocity error of integrated navigation system drops from 0.3m/s to below 0.03m/s, and improves the precision and reliability of the navigation system effectively, as well as continuity and real-time capability, it provides an effective way for data analysis and process of fusion navigation system.

Citation Download Citation

Chunmei Huang, Yantao Tian, Lihua Liu, and Zhilong Ma "Research on design means of GPS/INS integrated navigation system", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 635819 (28 October 2006); https://doi.org/10.1117/12.717829

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