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Research on Tracking and Filtering Technology of High-speed Target in Near Space

机译:近空间高速目标跟踪和过滤技术研究

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The emergence of HTV-2, X-51A and other near space hypersonic vehicles poses a new challenge to radar target tracking. Near space hypersonic vehicle has the characteristics of high speed and high maneuverability, but the tracking performance of conventional tracking algorithm is low, which can not meet the operational requirements. In this paper, the technical difficulties of near space target tracking are described. By analyzing the motion characteristics of near space hypersonic vehicle, the dynamics model of HTV-2 is established, and a tracking method based on interacting multiple model (1MM) for near space vehicle is proposed. At the same time, considering the unscented Kalman filter (UKF) algorithm has a better filtering effect on strong nonlinear object. The simulation results show that, the interact multiple model-unscented Kalman filter (IMM-UKF) algorithm is better than the single model EKF algorithm.
机译:HTV-2,X-51A和其他附近空间过度车辆的出现对雷达目标跟踪构成了新的挑战。近空间高超声速车辆具有高速和高机动性的特点,但常规跟踪算法的跟踪性能低,这不符合操作要求。本文描述了近空间目标跟踪的技术难点。通过分析近空间超声波车辆的运动特性,建立了HTV-2的动力学模型,提出了一种基于近空间车辆的多模型(1mm)的跟踪方法。同时,考虑到未加注的卡尔曼滤波器(UKF)算法对强非线性对象具有更好的过滤效果。仿真结果表明,交互多模型 - 无编号的卡尔曼滤波器(IMM-UKF)算法优于单一模型EKF算法。

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