標題: Modified moose estimator for tracking highly manoeuvring targets
作者: Liu, CM
Wu, KG
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: target tracking;Kalman filters
公開日期: 10-四月-1997
摘要: 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
期刊: ELECTRONICS LETTERS
Volume: 33
Issue: 8
起始頁: 672
結束頁: 674
顯示於類別:期刊論文


文件中的檔案:

  1. A1997WW46800020.pdf