A Modified System Model and its Application on SINS/GPS Integrated System

Xuan Xiao, Xiang Guo, Yuan Liang, Chao Shi, Songtian Shang, Hong Hu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Kalman filter has been extensively applied in vast areas. However, the performance of Kalman filter rests on the accuracy of prior information such as model construction. In the integrated system of Strapdown Inertial Navigation System (SINS)/Global Positioning System (GPS), the model construction is affected by a certain error sources. The most significant one is computational errors, which are caused by improper reference frame and the absence of true values. To solve the problem, this paper presents a modified system model which reduce the impact of computational errors by selecting computational frame as reference coordinate frame and removing all true values. Simulation results have demonstrated that modified system model effectively improves the performance of Kalman filter in SINS/GPS integrated system.

源语言英语
主期刊名2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
出版商Institute of Electrical and Electronics Engineers Inc.
1224-1229
页数6
ISBN(印刷版)9781538604892
DOI
出版状态已出版 - 24 8月 2018
活动7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017 - Honolulu, 美国
期限: 31 7月 20174 8月 2017

出版系列

姓名2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

会议

会议7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
国家/地区美国
Honolulu
时期31/07/174/08/17

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