Abstract
Reentry vehicles are influenced by aerodynamic forces and experience strongly nonlinear motion. When tracking such targets, accurately modeling the target using an extended Kalman filter is essential in providing accurate tracking. However, the model descriptions have limits. If the maneuvering model for the tracking filter deviates or the target undergoes maneuvers, the tracking precision will fall. In this paper the authors propose a tracking filter based on a multiple maneuvering model as a tracking method for maneuvering reentry vehicles going through complex trajectories. This multiple maneuvering model adds several constant acceleration vectors to alter the trajectory of the target for the past maneuvering models used for maneuvering reentry vehicles. Computer simulations were used to demonstrate the effectiveness of this algorithm. The results show that tracking precision near the impact point is improved over traditional tracking methods. © 2000 Scripta Technica, Electron Comm Jpn Pt 1, 83(12): 84–92, 2000
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