Joint tracking and discrimination of exoatmospheric active decoys using nine-dimensional parameter-augmented EKF

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• 作者：Bin Rao ; ^a ; ^{raozibin1026@sina.com"" rel=""nofollow} ; Shunping Xiao^a ; Xuesong Wang^a ; ^{wxs1019@vip.sina.com"" rel=""nofollow}
• 关键词：Ballistic target tracking ; Active decoy ; Range deception ; Extended Kalman filter (EKF) ; Discrimination ; Real time
• 刊名：Signal Processing
• 出版年：2011
• 出版时间：October 2011
• 年：2011
• 卷：91
• 期：10
• 页码：2247-2258
• 全文大小：597 K

文摘

This paper describes a nine-dimensional extended Kalman filter (EKF) to jointly track and discriminate exoatmospheric active decoys in real time using motion features. By introducing an auxiliary variable as relative range delay ratio (RRDR), explicit nonlinear motion model of decoys in the East-North-Up coordinate system (ENU-CS) and the Jacobian matrix needed for the EKF are derived. The discrimination is then implemented according to the estimated deception range and its associated variance. The discrimination performance and the tracking accuracy compared to the traditional six-dimensional EKF are evaluated by Monte Carlo simulations. The advantage of the new algorithm lies in its real-time integration of tracking and discrimination.