State augmentation-based modified iterated extended Kalman filtering
This paper derives a state augmentation-based modified iterated extended Kalman filter(SMIEKF) by making use of the state augmentation technique, in which the state variables are directly augmented with the measurement noise. The improved performance is then demonstrated by a target tracking problem...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2020-04-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000117805 |