空对空导弹矢量评分

Nicholas Sweeney, K. Fisher
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引用次数: 4

摘要

提出了一种空空导弹矢量计分系统,用于测试和评估。在直角坐标系下,采用导弹位置和速度的线性六态恒速动力学模型。调频连续波(FMCW)雷达传感器,精心定位以提供目标周围的球形覆盖,提供相对于无人机的导弹运动学信息的更新。来自雷达传感器的数据对标称测量值进行线性化,并使用扩展卡尔曼滤波(EKF)算法与导弹模型预测融合。系统的性能通过高保真度,六自由度(6DOF)模拟进行评估,在各种场景下产生亚米级的终局精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air-to-air missile vector scoring
An air-to-air missile vector scoring system is proposed for test and evaluation applications. A linear six-state constant velocity (CV) dynamics model is used, consisting of missile position and velocity in a Cartesian coordinate system. Frequency modulated continuous wave (FMCW) radar sensors, carefully located to provide spherical coverage around the target, provide updates of missile kinematic information relative to a drone aircraft. Data from the radar sensors are linearized about a nominal measurement and fused with missile model predictions using an extended Kalman filter (EKF) algorithm. The performance of the system is evaluated through high-fidelity, six-degree of freedom (6DOF) simulations yielding sub-meter end-game accuracy in a variety of scenarios.
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