Title: | Modified moose estimator for tracking highly manoeuvring targets |
Authors: | Liu, CM Wu, KG 資訊工程學系 Department of Computer Science |
Keywords: | target tracking;Kalman filters |
Issue Date: | 10-Apr-1997 |
Abstract: | The Moose's adaptive state estimator has proved successful in tracking a manoeuvring submarine [1]. However, its application to track highly manoeuvring aircraft will encounter problems in complexity and tracking accuracy [2, 3]. The authors present a new algorithm that extends the Moose estimator to solve its problems. The new algorithm is verified through Monte-Carlo simulation and shows a better performance than the original Moose algorithm. |
URI: | http://dx.doi.org/10.1049/el:19970478 http://hdl.handle.net/11536/149505 |
ISSN: | 0013-5194 |
DOI: | 10.1049/el:19970478 |
Journal: | ELECTRONICS LETTERS |
Volume: | 33 |
Begin Page: | 672 |
End Page: | 674 |
Appears in Collections: | Articles |