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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huaming Qian Liang Chen Junwei Yang |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Automation, Harbin Engineering University, Heilongjiang Province, China (Huaming Qian; Liang Chen; Junwei Yang) |
| Abstract | The affect of Jerk model in maneuvering target tracking is discussed in this paper. In order to deal with these problems, an improved algorithm combining the Jerk model with Model Error Predictive filter is proposed. This algorithm can avoid the limitation that the Jerk model assumes the process noise as the Gaussian white noise. Meanwhile, the Model Error Predictive filter estimates the model error online and then amends it. The model error caused as the Jerk model mismatches the real motion is decreased obviously. The Extended Kalman Filter has the problems of complicated calculation, low accuracy and low convergence in estimating the nonlinear target tracking system. To avoid these problems, a new nonlinear filter called Cubature Kalman Filter is adopted. Then the accuracy and stability of the whole target tracking system is enhanced. Numerical simulation results have verified the effectiveness of this algorithm. |
| Starting Page | 1673 |
| Ending Page | 1677 |
| File Size | 348841 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457717000 |
| e-ISBN | 9781457717017 |
| DOI | 10.1109/TMEE.2011.6199533 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Cubautre Kalman Filter Target tracking Jerk model Predictive models Acceleration Mathematical model Kalman filters Model Error Predictive filter State estimation Maneuvering targets tracking |
| Content Type | Text |
| Resource Type | Article |
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