一种TASIMM-UKF导弹状态估计方法

TASIMM-UKF algorithm for missile state estimation

为了提高对机动导弹状态估计的精度和速度,提出了一种三轴分离IMM-UKF(TASIMM-UKF)滤波算法。将导弹运动状态按坐标轴方向进行三轴分离,并基于CV,CA和CJ模型集,采用无迹卡尔曼滤波器并行估计导弹三轴状态信息,有效地解决了导弹不同运动轴间的模型竞争问题。仿真结果表明,该方法能有效提高状态估计精度,缩短了估计时间,对复杂大机动目标状态估计具有良好的性能。

For improving the precision and speed of missile＇s state estimation,IMM-UKF（ TASIMMUKF） filtering method was proposed. In this algorithm,CV,CA,CJ model were built and the missile movement information was separated into three axes,so as to eliminate the cross coupling problem between difference axes in missile state estimation. Aiming at solving the nonlinear of measurement equations,UKF,which is of high precision,was adopted. Simulation results indicate that the new algorithm improves the accuracy of state estimation and reduces the state tracking time. It shows good performance in state estimation of high maneuvering target.