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

机译:改进增益伪测量滤波器的弹道目标跟踪性能分析

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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:在这项研究中,改进的增益伪测量滤波器(MGPMF)用于跟踪终端战斗中的弹道目标。车载无源传感器可测量目标的LOS角,并结合了地面雷达(GBR)的测量来克服可观察性问题。为了提高目标模型的准确性,将弹道系数视为要估计的状态变量。然后将过滤器与冲击角控制制导律结合起来进行终端归位。在GBR更新率较低的情况下,进行了蒙特卡罗仿真,以比较MGPMF和EKF在滤波器稳定性和未击中距离方面的性能。

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