基于滑动窗口的三维机动目标在线Kalman滤波研究

An Online Kalman Filter Study for 3D Maneuvering Target Based on Window Smoothing

对机动目标的在线跟踪是军民领域中的重要研究课题。基于雷达数据设计了一个实现三维机动目标在线跟踪的模型。首先,针对一类三维机动目标的跟踪模型,利用窗口平滑的方法获得了运动方程噪声的功率谱密度矩阵;其次,通过构造目标的运动方程和观测方程,利用Kalman滤波给出目标的最优估计。数值例子表明,对于高机动目标,该方法能够提供比较好的跟踪效果。

Online tracking of maneuvering targets is an important research topic in military and civil fields. In this paper, anonline tracking model for 3D maneuvering target based on radar data was designed. Firstly, the power spectral density matrix of aclass of 3D maneuvering targets was obtained by using the method of window smoothing. Secondly, the optimal estimation of the tar-get was obtained by constructing the moving equation and the observation equation of the target by using the Kalman filter. Numeri?cal example showed that the proposed method could provide better tracking results for high maneuvering targets.