Title: Modified moose estimator for tracking highly manoeuvring targets
Authors: Liu, CM
Wu, KG
交大名義發表
資訊工程學系
National Chiao Tung University
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://hdl.handle.net/11536/607
ISSN: 0013-5194
Journal: ELECTRONICS LETTERS
Volume: 33
Issue: 8
Begin Page: 672
End Page: 674
Appears in Collections:Articles


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  1. A1997WW46800020.pdf