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An Approach to Target Reselection for Anti-Ship Missile Against Centroid Jamming with Accurate Tracking Information

机译:具有精确跟踪信息的反船导弹靶重分的方法

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摘要

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.
机译:通过将质心性干扰的检测到与卡尔曼滤波器跟踪过程中的“异常”检测,考虑到法律的突变,提出了一种用准确的跟踪信息重选对抗船导弹的靶重选。在质心性干扰下的跟踪点的运动。对于这种方法,基于扩展卡尔曼滤波器(EKF)构建了精确的目标跟踪模型。使用包括距离,速度和角度包括距离,速度和角度的雷达导引者的信息,可以实现目标的准确跟踪并准确地确定目标的运动状态。在此基础上,利用卡尔曼滤波过程中的创新正交性来检测目标运动状态的任何突变,从而在跟踪中存在动作规律的任何突变时,检测到质心性干扰的存在点在Chaff质心堵塞的过程中。这为远程视觉范围(BVR)防船导弹提供了一种新的遥控器堵塞。

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