Observer Trajectory Optimization of Maneuvering Target for Bearings-only Tracking
ISME '10 Proceedings of the 2010 International Conference of Information Science and Management Engineering - Volume 02(2010)
摘要
An approach to observer trajectory optimization for maneuvering target is proposed in this paper through minimizing the cost function based on Extended Kalman Filter (EKF) related with uncertainties of state estimate. Computer simulation results demonstrate that the significant improvement in accuracy can be further achieved through combining observer trajectory optimization with Interacting Multiple Model (IMM) estimator.
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关键词
Kalman filters,motion estimation,observers,target tracking,extended Kalman filter,interacting multiple model estimator,maneuvering target,observer trajectory optimization,state estimate uncertainty,Interacting Multiple Model (IMM),passive tracking,target motion analysis (TMA),trajectory optimization,
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