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Estimation of The Corvette SIGMA Motion in Missile Firing Mission

机译:导弹射击使命中思想Σ动作的估算

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This paper discusses about the estimation of war-ship's motion when shooting a missile to reach a moving target. We use Extended Kalman Filter-Unknown Input-Without Direct Feedthrough (EKF-UI-WDF). The proposed method is an extension of Extended Kalman Filter (EKF) and the method is able to simultaneously estimate the states and unknown input. Unknown input is any inputs without prior information from a given state of a model. In this work, the ship is Corvette Sigma and the target acceleration is defined as the unknown input. In this work, the missile acceleration use APN guidance law. According to the numerical results, the estimation errors are very small, i.e. less than 10~(-5).
机译:本文讨论了在射击导弹到达移动目标时的战舰运动的估算。我们使用扩展的卡尔曼滤波器 - 未知的输入 - 没有直接馈通(EKF-UI-WDF)。该方法是扩展卡尔曼滤波器(EKF)的扩展,该方法能够同时估计状态和未知输入。未知输入是没有从模型的给定状态的现有信息的任何输入。在这项工作中,船是Corvette Sigma,目标加速度被定义为未知输入。在这项工作中,导弹加速度使用APN指导法。根据数值结果,估计误差非常小,即小于10〜(-5)。

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