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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yujing Liu Huadong Meng Desheng Wang Xiqin Wang |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing (Yujing Liu; Huadong Meng; Desheng Wang; Xiqin Wang) |
| Abstract | A Kalman filter with delayed update filter (DUF) is proposed for mining the steady-state performance when tracking a constant input/bias target, while its transient performance is maintained when maneuver occurs. The key of this scheme is using a constant input/bias constraint as a pseudo-measurement to update current states estimated via Kalman filter. This constraint can remove the influence caused by mismatch of common dynamic models. Simulation results are given for comparing with the variable dimension filter and interactive multiple model filter. Benefit and validity of the proposed method is verified |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 156432 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780395824 |
| DOI | 10.1109/ICR.2006.343338 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Acceleration Noise measurement Gaussian noise Trajectory Least squares approximation Information filtering Information filters Delay effects Systems engineering and theory Delayed Update Filter Target Tracking |
| Content Type | Text |
| Resource Type | Article |
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