基于曲线运动的改进型卡尔曼滤波器

A Modified Kalman Filter Based on Curved Motion Model

滤波器的性能对雷达站多站数据融合有着至关重要的影响,目前卡尔曼滤波器对曲线运动模型的滤波性能误差较大,或者是运算效率较低。对曲线运动模型的描述和相应卡尔曼滤波器提出了改进,并设计了改进型卡尔曼滤波器,经仿真验证取得了良好的效果。

The performance of the filter is very important to data fusion in radar stations. At present,Kalman filter is not so good at curved motion model,because of dissatisfactory error or low calculation efficiency. So the modified curved motion model and corresponding Kalman filter are raised,and it is proved that modified Kalman filter is quite suitable for the curved motion model.