J4 ›› 2012, Vol. 30 ›› Issue (6): 561-568.
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In order to solve the problems of delay time existed in tactical data link communication and nonlinearity of measurement information, a delay time compensation algorithm based on unscented kalman filtering is proposed combined with a current statistical model. Nonlinear transformation is applied to state prediction, avoiding accuracy decline brought by model linearization. By analyzing delay time and its impact on tactical data link, the current statistical model of the target is established, unscented kalman filtering is adopted to track the target, and delay time compensation algorithm based on the UKF(unscented kalman filtering) algorithm is added to compensate displacement error and velocity error. The simulation results have verified indicate the effectiveness of the proposed method.