基于卡尔曼滤波的机动目标外推预测的研究

Research of maneuvering target extrapolation based on Kalman filtering

卡尔曼滤波在各个领域都有广泛的应用,如航天器的轨道计算、雷达目标跟踪、生产过程的自动控制等。卡尔曼滤波器在机动目标跟踪中具有良好的性能,是一种最佳估计并能够进行递推计算。为了研究卡尔曼滤波对机动目标的预测,首先用Matlab仿真验证自适应卡尔曼滤波的跟踪滤波能力,根据结果判定目标运动模型,进而在此运动模型下用卡尔曼预测对目标进行外推验证。

Kalman filtering is widely used in many fields, such as orbit calculation of space-crafts, radar target tracking, automatic control in production process. Kalman filter has a good performance in maneuvering target tracking due to its optimal estimation and further recursive calculation. In order to research of the maneuvering target prediction of Kalman filtering, the tracking filtering ability of the adaptive Kerman filtering was simulated and validated with Matlab, the model of the maneuvering target was confirmed according to the result, and then the target extrapolation was validated by Kalman prediction with this moving model.