提出一种新的机动输入估计的卡尔曼滤波器 .该滤波器利用子波滤波从新息中估计机动造成的附加位移 ,由此修正卡尔曼滤波器的状态估计 ,模拟实验表明这一方法比通常的机动输入估计卡尔曼滤波器 ( IE)具有更好的目标跟踪性能 ,而计算也更为简便 This paper proposes a new Kalman filter for maneuvering input estimation.The filter uses wavelet filtering to estimate the additional displacement caused by maneuver from the new information to modify the state estimation of Kalman filter.The simulation results show that this method is more efficient than usual Maneuver Input Estimation Kalman Filter (IE) has better target tracking performance and is easier to calculate