The application of Square-Root Cubature Kalman Filter in the SINS/CNS integrated navigation system

Dongyang Zhang*, Zhihong Deng, Bo Wang, Mengyin Fu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

The integrated navigation system can improve the navigation accuracy utilizing the redundant information. The Extended Kalman Filter (EKF) is commonly used in the integrated navigation system. It usually takes only one-order of Taylor expansion and needs to calculate the Jacobian matrix, which will affect the accuracy and numerical stability of the system significantly. Thus in this paper the application of Square-Root Cubature Kalman Filter(SCKF) method was proposed to solve the above problems in the SINS/CNS integrated navigation system. The simulation results show that the position, velocity and attitude errors are reduced effectively compared with the EKF method. The SCKF method is more suitable for the state estimation problems in integrated navigation system.

源语言英语
主期刊名CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
出版商Institute of Electrical and Electronics Engineers Inc.
2331-2335
页数5
ISBN(电子版)9781467383189
DOI
出版状态已出版 - 20 1月 2017
活动7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 - Nanjing, Jiangsu, 中国
期限: 12 8月 201614 8月 2016

出版系列

姓名CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

会议

会议7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
国家/地区中国
Nanjing, Jiangsu
时期12/08/1614/08/16

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