组合Kalman隔点预测法用于跟踪机动目标的仿真研究

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.

Tracking mobile target by composed Kalman leap prediction method

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.