Abstract
To track the moving target with the nonlinear and non-Gaussian state in real time, we in this paper apply particle filtering theory in the antenna tracking system. After the prediction of the target state, the antenna attitude is regulated in real time by the servo control loop so that the antenna can aim at the target precisely. The particle filtering can efficiently improve the tracking performance of the antenna tracking servo system affected by the delay time in comparison with Extended Kalman Filtering. The system performance is verified by a numerical simulation of maneuvering target tracking.
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