基于序列红外图像的弹道导弹中段目标检测跟踪方法

Target Detecting and Tracking Method in Middle Trajectory of Ballistic Missile based on Serial Infrared Images

针对弹道导弹中段目标检测跟踪问题,将卡尔曼滤波应用基于红外图像的弹道中段目标检测数据滤波和预测,建立了中段目标的状态方程和量测方程。针对卡尔曼滤波中系统噪声和量测噪声的自协方差阵难于确定的问题,研究了卡尔曼滤波参数选择设置方法,利用实际检测结果对不同噪声参数条件进行了试验,得到了应用于弹道导弹中段目标检测跟踪的滤波器参数设置规律,为弹道导弹中段目标检测跟踪技术提供了参考。

This paper proposes a new method to solve the target detecting and tracking problem in middle trajectory of ballistic missile. The state formula and measure formula of the target in the middle traj-ectory are established by applying the Kalman filter to filter and forecast the target detecting data based on serial infrared images. It is difficult to determine the self-covariance matrix of the system noise and measure noise in the Kalman filter. To solve this problem, the parameters setting method of Kalman filter are stud-ied and the filter parameters setting rules are gained by test the different noise parameters condition using the real experiment testing results. This rule can be applied to detect and track the targets in middle trajec-tory of ballistic missile and provide reference for the target detecting and tracking technology.