非线性系统中的机动目标跟踪算法

Maneuvering Target Tracking in the Nonlinear System

对于非线性系统中的机动目标跟踪问题 ,首先针对“当前”统计模型的缺陷提出了一种修正算法 ,然后应用转换测量Kalman滤波算法进行跟踪。仿真结果表明在非线性观测条件下 ,算法明显提高了对弱机动和非机动目标的跟踪性能 。

Considering the problem of the maneuvering target tracking in the nonlinear system, this paper first proposes a modified algorithm based on 'current' statistical model. Then a converted measurement Kalman filter is applied to tracking the target. Simulation results show that the algorithm improves the tracking performance obviously for the poor-maneuver or non-maneuver target, meanwhile it retains high tracking performance for the strong-maneuvering target.