In order to achieve the goal of effective and rapid counterattack, we analyzed the originally noisy data provided from the reconnaissance equipment and formed the estimated weighted matrix based on the trajectory deviation of the measured data to re-establish an more accurate initial value of target state. This initial value helped improve the obviously initial estimation error. Besides, we adjusted the value to accommodate to the environmental noise and various motion modes of the targets to improve the tracking error and convergence time when executing Kalman filter to estimate the target trajectory. q^2 Furthermore, we discussed the impacts of various system errors to the different Kalman filter and analyzed different motion modes of the targets. We proposed setting estimated parameters in order to efficaciously ameliorate the estimation accuracy of target tracking and achieve the goal of the rapid counterattack.