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Research on target passive locating and tracking based on UKF

机译:UKF的目标被动定位与跟踪研究

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Target passive locating and tracking is a typical application for UAV In this paper, the state space model of airborne bearing-only tracking was firstly introduced. A typical flight trajectory of UAV was simulated by integrated navigation based on the Federal Kalman Filter. And then, according to the navigation parameters from the flight trajectory, an Air-to-Sea passive locating and tracking were simulated based on UKF. The result shows that the CEP of the locating precision is less than 50m. Finally, Some factors which seriously affect the locating precision are discussed.
机译:目标无源定位与跟踪是无人机的典型应用。本文首先介绍了机载纯方位跟踪的状态空间模型。通过基于联邦卡尔曼滤波器的集成导航模拟了无人机的典型飞行轨迹。然后,根据飞行轨迹的导航参数,对基于UKF的空对海被动定位和跟踪进行了仿真。结果表明,定位精度的CEP小于50m。最后,讨论了严重影响定位精度的一些因素。

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