自适应Kalman滤波在巡航导弹航迹融合中的实现

Application of Adaptive Kalman Filter for Cruise Missile Track Fusion

针对巡航导弹航迹的融合与滤波问题,提出改进Kalman线性滤波算法的一种思路与方法。巡航导弹航迹融合模型包括飞行动态模型、探测器观测模型、Kalman滤波算法模型、坐标转换及转换后方差的近似计算方程等。这种改进算法基于转向判定域调整滤波初值,给出算例并对相关计算数据进行了简要地分析与评价。实验表明,这种改进算法精确有效。

An idea and method about improving Kalman filter are proposed to solve the difficulties of track data fusion and filtration for cruise missile. The models of cruise missile track fusion include the models of linear dynamic system, detecting, Kalman filter and equations about measurement conversion. By the improved algorithm, filter value is initialized based on ascertaining the area of turning. The per- formance evaluation of this algorithm is presented based on the algorithm example. The experiment results show that the improved algorithm is accurate and effective.