2008Unpublished venueRequires access

Research of the INS/GPS Integrated Navigation System for High Speed Trains

Haitao Zhang, Jian Rong, Xiaochun Zhong

Open publisher page 12 citations

Abstract

A positioning algorithm based on a Global Positioning System (GPS) and inertial navigation system (INS) is proposed, so that the navigation accuracy of high speed trains is improved. In this paper, the error sources of INS and GPS are analyzed respectively, and then the error state models are set up. Furthermore, the INS/GPS integrated navigation system based on the information of GPS and INS is modeled and simulated, and the algorithm using Kalman filter (KF) is designed. The numerical emulation demonstrates that the INS/GPS can greatly enhance the robustness and reliability of the trains integrated navigation system. The system has obvious advantages of high accuracy.

About this research paper

What this paper is about

A positioning algorithm based on a Global Positioning System (GPS) and inertial navigation system (INS) is proposed, so that the navigation accuracy of high speed trains is improved. In this paper, the error sources of INS and GPS are analyzed respectively, and then the error state models are set up. Furthermore, the INS/GPS integrated navigation system based on the information of GPS and INS is modeled and simulated, and the algorithm using Kalman filter (KF) is designed. The numerical emulation demonstrates that the INS/GPS can greatly enhance the robustness and reliability of the trains integrated navigation system. The system has obvious advantages of high accuracy.

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OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A positioning algorithm based on a Global Positioning System (GPS) and inertial navigation system (INS) is proposed, so that the navigation accuracy of high speed trains is improved. In this paper, the error sources of INS and GPS are analyzed respectively, and then the error state models are set up. Furthermore, the INS/GPS integrated navigation system based on the information of GPS and INS is modeled and simulated, and the algorithm using Kalman filter (KF) is designed. The numerical emulation demonstrates that the INS/GPS can greatly enhance the robustness and reliability of the trains integrated navigation system. The system has obvious advantages of high accuracy.

Key concepts: Global Positioning System, GPS/INS, Inertial navigation system, Navigation system, Computer science, Robustness (evolution), Kalman filter, Emulation

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