By equaling the detection of centroid jamming to the “outlier” detection in the process of tracking with Kalman filter, an approach to target reselection for anti-ship missile against centroid jamming with accurate tracking information is proposed in this paper considering the mutation of the law of motion at the tracking point under centroid jamming. For this approach, an accurate target tracking model is built on the basis of extended Kalman filter (EKF). Using the information collected by radar seeker including distance, velocity and angle, it could achieve the accurate tracking of the target and determine the motion state of the target accurately. On this basis, the orthogonality of innovation in the process of Kalman filtering is utilized to detect any mutation of the motion state of the target, so that the existence of centroid jamming is detected when there is any mutation of the law of motion at the tracking point in the process of chaff centroid jamming. This offers a new solution for remote beyond-visual-range (BVR) anti-ship missile against centroid jamming.

中文翻译：

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一种具有精确跟踪信息的反舰导弹重心干扰目标重选方法

本文通过将质心干扰检测等同于卡尔曼滤波跟踪过程中的“异常值”检测，提出一种考虑规律突变的具有精确跟踪信息的反舰导弹抗质心干扰目标重选方法。质心干扰下跟踪点的运动。对于这种方法，在扩展卡尔曼滤波器（EKF）的基础上建立了一个精确的目标跟踪模型。利用雷达导引头采集的距离、速度、角度等信息，实现对目标的精确跟踪，准确判断目标的运动状态。在此基础上，利用卡尔曼滤波过程中创新的正交性来检测目标运动状态的任何突变，从而在箔条质心干扰过程中，当跟踪点运动定律发生突变时，检测出质心干扰的存在。这为远程超视距（BVR）反舰导弹的质心干扰提供了新的解决方案。