组合Kalman隔点预测法用于跟踪机动目标的仿真研究

Tracking mobile target by composed Kalman leap prediction method

将Kalman预测法用于经纬仪跟踪机动目标,对不同靶标旋转速度下的机动目标跟踪进行了仿真研究。提出了状态方程输入矩阵G(k),用以弥补等角速度方程的加速度项。根据Kalman预测曲线与实测曲线误差的标准方差最小原则,确定了状态噪声与测试噪声的方差比值Q/R,并优化了适合经纬仪的比值Q/R。提出了组合Kalman隔点预测法,进行了1,2,3个隔点的仿真预测研究。仿真结果表明,组合Kalman隔点预测法可以实现经纬仪隔点跟踪目标。

By using the input matrix of state equation G(k) to make up the acceleration term of the constant angular velocity model, establishing the deviation ratio of state noise and test noise Q/R and optimizing the ratio Q/R for theodolite following the principle of least standard deviation of Kalman predication curve from practical curve, composed Kalman leap prediction method is proposed for application to a theodolite for tracking mobile targets. Simulation research was conducted for tracking mobile targets at different target beacon velocities with predictions of 1, 2 and 3 leaps made. Simulation results showed that composed Kalman leap prediction method can be applied to a theodolite for tracking mobile targets.