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Performance Analysis of Modified Gain Pseudo-Measurement Filter for Ballistic Target Tracking

机译:弹道目标跟踪改进增益伪测量滤波器性能分析

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In this study, modified gain pseudo-measurements filter (MGPMF) is used for tracking of ballistic targets in the terminal engagement. The on-board passive sensor measures LOS angles of the target and the measurements from a ground based radar (GBR) are incorporated to overcome the observability problem. To improve the accuracy of the target model, the ballistic coefficient is treated as a state variable to be estimated. The filter is then combined with impact-angle-control guidance law for terminal homing. Under the situation of low GBR update rate, Monte Carlo simulation is conducted to compare the performance of MGPMF with that of EKF in terms of filter stability and miss distance.
机译:在该研究中,改进的增益伪测量滤波器(MGPMF)用于跟踪终端接合中的弹道靶。板载被动传感器测量目标的LOS角度,并结合了来自地基雷达(GBR)的测量以克服可观察性问题。为了提高目标模型的准确性,将弹道系数被视为待估计的状态变量。然后将过滤器与终端归位的冲击角控制引导法相结合。在GBR更新率低的情况下,蒙特卡罗模拟进行了比较MGPMF在滤波器稳定性和错过距离方面具有EKF的性能。

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