目标机动频率自适应估计的UKF滤波算法研究

Maneuvering Target's UKF Filter Algorithm with Adaptive Maneuvering Frequency Method

研究了反弹道导弹中机动目标的拦截问题,提出了一种基于机动频率自适应的UKF滤波估计算法,将实时估计得到的机动频率应用于目标运动状态的滤波过程中,从而对目标运动信息进行快速而有效的估计。仿真结果表明,这种自适应估计算法,较固定机动频率的滤波算法,有较快的目标估计速度,较高的目标估计精度,能有效的跟踪和应对目标机动加速度的快速变化,有效避免了由于不能及时跟踪的目标运动信息而导致较大脱靶量的现象。

An adaptive algorithm for estimating maneuvering frequency parameterin intercepting maneuvering target is proposed based on unscented Kalman filter （UKF） algorithm, and this algorithm enhances the estimated accuracy of target movement information by obtaining accurate real-time value of maneuvering frequency. The simulation results show that, this adaptive algorithm could perform efficiently and rapidly and track changes of target acceleration od. This method can avoid the longer miss distance tion. precisely when compared with the normal filter methowning to failure of trackingtarget movement information.