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Improved target-tracking process in PCL

机译:改进了PCL中的目标跟踪流程

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Compared to conventional radar systems, passive coherent location (PCL) systems utilize transmitters already deployed within an environment. In this paper, we investigate PCL systems to estimate an unknown target position in three dimensional space, and propose a target-tracking process of three steps: 1) receiver selection, 2) target-tracking algorithm, and 3) filtering process. To reduce an estimation error of target position, especially Z coordinate of the target position, we also propose a receiver selection algorithm. The selected receivers can be utilized in the proposed target-tracking algorithm that successively estimates target positions in XY and YZ planes. Furthermore, in YZ plane, an estimation error of Z coordinate can be minimized by allocating different weights on each receiver's estimate. Lastly, a decoupled Kalman filter is applied to the target-tracking process. Simulation results show that the proposed target-tracking process achieves higher accuracy than other algorithms.
机译:与常规雷达系统相比,无源相干定位(PCL)系统利用已经部署在环境中的发射机。在本文中,我们研究了PCL系统以估计三维空间中的未知目标位置,并提出了一个目标跟踪过程,该过程分为三个步骤:1)接收者选择,2)目标跟踪算法和3)过滤过程。为了减少目标位置尤其是目标位置的Z坐标的估计误差,我们还提出了一种接收器选择算法。可以在提出的目标跟踪算法中利用选定的接收器,该算法可以连续估计XY和YZ平面中的目标位置。此外,在YZ平面中,可以通过在每个接收器的估计上分配不同的权重来最小化Z坐标的估计误差。最后,将解耦卡尔曼滤波器应用于目标跟踪过程。仿真结果表明,所提出的目标跟踪过程比其他算法具有更高的精度。

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