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Problems in estimation: Target tracking in missile defense and the limiting case of the discrete-time Kalman filter.

机译:估算中的问题:导弹防御系统中的目标跟踪以及离散时间卡尔曼滤波器的极限情况。

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摘要

Ballistic missile defense is a major concern of the nation's armed forces, and it is a difficult problem. The Army's Patriot system had particular difficulty with the Scud missile during the Persian Gulf War. One of the difficulties was that the Scud flew 'corkscrew' trajectories. Another difficulty in using a missile to destroy another missile is that any sensor carried on the intercepting missile must be light, small, and expendable. Such sensors give limited information.; In order for the intercepting missile to determine the other missile's trajectory from limited data, it must maneuver non-trivially. In this work we show that simple maneuvers do not allow the intercepting missile to track its target and we define a maneuver which does. Then we define an algorithm for estimating the parameters of the target missile's trajectory and we test the algorithm in computer simulations.; Also in this work we present results on filtering theory. We show that the Kalman filter for continuous time systems can be obtained as the limit of the Kalman filter of discrete time systems. This is commonly believed to be true and there is a heuristic argument; we make it rigorous. This result will be used in the future to examine stochastic models for noise in missile defense.
机译:弹道导弹防御是美国武装部队的主要关切,这是一个棘手的问题。在波斯湾战争期间,陆军的爱国者系统在使用飞毛腿导弹时尤其困难。困难之一是飞毛腿飞过“开瓶器”的轨迹。使用导弹摧毁另一枚导弹的另一个困难是,拦截导弹上携带的任何传感器必须轻巧,小巧且可消耗。这种传感器提供的信息有限。为了使拦截导弹能够从有限的数据中确定另一枚导弹的轨迹,它必须进行非平凡的机动。在这项工作中,我们证明了简单的机动不允许拦截导弹追踪其目标,而我们定义了可以做到的机动。然后,我们定义了一种用于估计目标导弹弹道参数的算法,并在计算机仿真中对该算法进行了测试。同样在这项工作中,我们提出了关于过滤理论的结果。我们表明,连续时间系统的卡尔曼滤波器可以作为离散时间系统的卡尔曼滤波器的极限来获得。通常认为这是正确的,并且有一个启发式的论点。我们做到严格。该结果将在将来用于检查导弹防御系统中噪声的随机模型。

著录项

  • 作者

    Shald, Scott Michael.;

  • 作者单位

    University of Minnesota.;

  • 授予单位 University of Minnesota.;
  • 学科 Mathematics.; Applied Mechanics.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 67 p.
  • 总页数 67
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学;应用力学;
  • 关键词

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