In the process of the terminal guidance of a kinetic kill vehicle (KKV), it is very important to accurately estimate the line-of-sight (LOS) rate via the measurements of a target seeker onboard the KKV. The strong impact interference caused by the large lateral thrust produced by the thrusters on the KKV is a main factor that affects the measurements on the LOS angle. A method to estimate the impact interference and the LOS rate together via a Kalman filter is proposed to improve the estimation precision of the LOS rate. The observability of the system describing the missile-target relative motion model and the impact interference model is proved, and then a Kalman filter is designed. In the Kalman filter design, the continuous-discrete and two-stage filtering techniques are used because the system model is time-variant and high-order. Numerical simulation results show that by estimating the impact interference, the estimation precision of the LOS rate is increased, and so the miss distance of the KKV under the strong impact interference is reduced. The proposed continuous-discrete two-stage Kalman filter shows higher estimation precision and lower computational cost than the naive discrete augmented state Kalman filter.

中文翻译：

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强烈碰撞干扰作用下的视距准确估计

在动能杀伤车辆（KKV）的末制导过程中，通过测量KKV上目标搜索器的准确估计视线（LOS）速率非常重要。推力器在KKV上产生的较大的侧向推力引起的强烈冲击干扰是影响LOS角测量的主要因素。提出了一种通过卡尔曼滤波器估计碰撞干扰和LOS率的方法，以提高LOS率的估计精度。证明了描述导弹目标相对运动模型和冲击干扰模型的系统的可观察性，然后设计了卡尔曼滤波器。在卡尔曼滤波器设计中，由于系统模型是时变的且是高阶的，因此使用了连续离散和两阶段滤波技术。数值模拟结果表明，通过估计冲击干扰，提高了LOS率的估计精度，从而减小了在强烈冲击干扰下KKV的失误距离。所提出的连续离散两级卡尔曼滤波器比单纯的离散增广状态卡尔曼滤波器具有更高的估计精度和更低的计算成本。