Abstract
A new adaptive maneuvering target tracking algorithm STF-CS is presented based on the current statistical model (CS). By introducing a fading factor of Strong Tracking Filter (STF), this algorithm improves the adaptive tracking performance greatly when there is a sudden maneuver, and has the same high precision to track common maneuvering targets as the current statistical model and adaptive tracking algorithm. Simulation results show that, when there is only common maneuver the performance of the two algorithms is the same, when there is a sudden maneuver, the performance of STF-CS is much better than the CS.
| Original language | English |
|---|---|
| Pages (from-to) | 981-984 |
| Number of pages | 4 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 34 |
| Issue number | 6 |
| Publication status | Published - Jun 2006 |
| Externally published | Yes |
Keywords
- Current statistical model
- Kalman filter
- Maneuvering target tracking
- Strong tracking filter