| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9702447 | Chinese Journal of Aeronautics | 2005 | 5 Pages |
Abstract
A new improved particle filter algorithm with the simplified UT (unscented transformation) and the modified unscented Kalman filter (UKF) proposal distribution is presented. The scaling factor is added to adaptively estimate on line and to improve the filtering performance. An adaptive algorithm is developed. In the bearings-only tracking experiments, the results confirm the improved particle filter algorithm outperforms others.
Related Topics
Physical Sciences and Engineering
Engineering
Aerospace Engineering
Authors
Xiao-long DENG, Jian-ying XIE, Hong-wei NI,