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Content Provider | IEEE Xplore Digital Library |
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Author | Jia Jianfang |
Copyright Year | 2011 |
Description | Author affiliation: School of information and communication engineering, North university of China, Taiyuan 030051, China (Jia Jianfang) |
Abstract | For the low-cost MIMU/GPS integrated navigation system of small UAV, the filter performance will be decreased due to the correlation of the position and velocity measurement noises of GPS receiver. A sequential unscented Kalman filtering technology is proposed to overcome the abovementioned disadvantage. The observation vector position and velocity are handled sequentially so as to simplify obviously the filter computation and to realize effectively the information fusion. Simulation results show that the method can achieve higher accuracy solutions with low cost sensors and improve the performance of integrated navigation system. |
Starting Page | 3864 |
Ending Page | 3867 |
File Size | 320644 |
Page Count | 4 |
File Format | |
ISBN | 9781457706776 |
ISSN | 21612927 |
e-ISBN | 9789881725592 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-07-22 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Chinese Assoc of Automati |
Subject Keyword | Silicon compounds Computational modeling Sequential Filtering Unscented Kalman Filter Small UAV Information filters Kalman filters Global Positioning System Integrated Navigation |
Content Type | Text |
Resource Type | Article |
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