混合坐标下的卡尔曼滤波及其应用

Kalman Filter and Application: Hybrid Coordinate Approach

详细研究了混合坐标下的扩展Kalman滤波算法问题,并将其应用于综合火力/飞行控制系统中的机载目标状态估计器设计,该滤波算法充分利用了直角坐标体系下状态变量的状态线性特性和视线坐标体系下状态变量的量测线性特性。通过系统的Monte Carlo仿真表明,混合坐标下的Kalman滤波算法的稳定性及估计精度优于单独用视线坐标的滤波算法。

A maneuvering target tracking algorithm is explored in this paper. The application of this algorithm to an airborne target state estimator in the Integrated Flight/Fire Control (IFFC) is also discussed indetail. This algorithm is an extended Kalman filter which combines the line - in - state properties of the Cartesian state variable definition with the line -in -measurement properties of the Line-Of- Sight (LOS) state variable definition. The Monte Carlo simulation of the IFFC system shows that the hybrid coordinate approach is superior to the LOS coordinate approach, both in estimating accuracy and filter stability.