Application of Multi-Sensors Information Fusion Technology to a Integrated Navigation System

被引：0

作者：

Yang Changsong ^{[1
]}

Xu Xiaosu ^{[2
]}

Zhang Zijia ^{[1
]}

Wang Qi ^{[1
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Informat & Control, Nanjing, Peoples R China

[2] Southeast Univ, Sch Instrument Sci & Engn, Nanjing, Peoples R China

来源：

PROCEEDINGS OF 2009 CONFERENCE ON COMMUNICATION FACULTY | 2009年

关键词：

federated Kalman filter; information fusion; multi-sensors integrated navigation; fault tolerant;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The warship navigation system applied in our project need to be of high precision and of good fault. tolerant capability. According to these requirements, this paper presents an INS/GPS/DVL federated Kalman filter scheme based on information fusion theory of multi-sensors integrated navigation system. Then, this paper devises the structure and the algorithm of the federated Kalman filter in detail. Experiment is carried out to study the filter's performance. Experiment results show that the INS/GPS/DVL federated Kalman filter designed in this paper is effective in improving the navigation precision.

引用

页码：257 / +

页数：3

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