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Navy theater missile defense: Optimal estimation of theater ballistic missile parameters and prediction of missile trajectories using a Kalman filter.

机译：海军战区导弹防御：使用卡尔曼滤波器对战区弹道导弹参数进行最佳估计并预测导弹弹道。

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摘要

In theater missile defense (TMD), early recognition of enemy theater ballistic missile (TBM) firing is the most vital factor to ensure a high probability of successful missile defense. Satellite sensors usually work as the primary means for early confirmation of TBM firing in TMD because the sensors are able to cover the widest possible TBM launch area and they can visually confirm the TBM firing in the early stage of TBM flight. However, the development of decoy tactics associated with TBM's in flight can cause satellite sensors to go blind. As a result, sea-based TMD, so called navy theater missile defense (NTMD), can offer joint power projection with a vital, flexible, and increasingly robust TMD capability.; As ship's radar engages with the flying TBM, the NTMD success depends on the accuracy of measurement outputs. Unfortunately, a ship's radar is always noise corrupted and measurement outputs of the radar do not provide perfect and complete data. To provide more precise information for the NTMD, this dissertation develops models for optimal TBM parameter estimation and for the prediction of missile trajectories using a Kalman filter. This is perhaps the first formal research attempt in the field of TMD for achieving high NTMD success.; This research makes several unique contributions. First, a comprehensive analysis of radar measurement error is developed. Second, critical characteristics for determining an optimal estimator are identified. Third, rigorous mathematical models are developed for optimal TBM parameter estimation and for the prediction of missile trajectories. Finally, these proposed models are validated and verified through comprehensive simulation studies. The simulation studies strongly indicate that proposed models significantly reduce measurement noise and better predict missile trajectories.
机译：在战区导弹防御（TMD）中，尽早识别敌方战区弹道导弹（TBM）的发射是确保成功实现导弹防御的高机率的最重要因素。卫星传感器通常用作在TMD中尽早确认TBM发射的主要手段，因为这些传感器能够覆盖最大范围的TBM发射区域，并且它们可以在TBM飞行的早期阶段目视确认TBM发射。但是，与飞行中的TBM相关的诱骗战术的发展会导致卫星传感器失明。结果，海基TMD，即所谓的海军战区导弹防御系统（NTMD），可以提供具有重要，灵活和日益强大的TMD能力的联合力量投射。随着船舶雷达与飞行中的TBM接触，NTMD的成功取决于测量输出的准确性。不幸的是，船上的雷达总是受到噪声破坏，并且雷达的测量输出无法提供完美而完整的数据。为了给NTMD提供更精确的信息，本文建立了最优的TBM参数估计和使用卡尔曼滤波器预测导弹轨迹的模型。这可能是TMD领域中为获得高NTMD成功而进行的首次正式研究尝试。这项研究做出了一些独特的贡献。首先，对雷达测量误差进行了综合分析。其次，确定用于确定最佳估计量的关键特性。第三，开发了严格的数学模型，以优化TBM参数估计和预测导弹弹道。最后，通过全面的仿真研究对这些提出的模型进行了验证和验证。仿真研究强烈表明，所提出的模型可以显着降低测量噪声并更好地预测导弹的轨迹。

著录项

  • 作者

    Kim, Jay-Wan.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Engineering Industrial.; Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 185 p.
  • 总页数 185
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般工业技术;无线电电子学、电信技术;
  • 关键词

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