Abstract
The design and performance of an Interacting Multiple Model (IMM) estimator for a given benchmark problem of highly maneuvering targets are presented in this paper. The design parameters of the IMM estimator as well as an adaptive sampling policy are described. It is shown that the IMM estimator with adaptive sampling policy has a better performance in terms of the average track loss, average dwells per run and noise reduction in non-maneuvering periods of time than the best Kalman filter.
| Original language | English |
|---|---|
| Pages (from-to) | 2093-2097 |
| Number of pages | 5 |
| Journal | Proceedings of the American Control Conference |
| Volume | 2 |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 1994 American Control Conference. Part 1 (of 3) - Baltimore, MD, USA Duration: 29 Jun 1994 → 1 Jul 1994 |
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