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TOA/AOA/AOD-based 3-D mobile terminal tracking in NLOS multipath environments

机译:NLOS多路径环境中基于TOA / AOA / AOD的3-D移动终端跟踪

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Recently several authors have proposed different indoor positioning and tracking algorithms. Most of the proposed indoor positioning and tracking algorithms try to identify and mitigate the errors caused by the non-line-of-sight propagation paths. In this paper, we propose a three-dimensional tracking technique to track a mobile terminal which moves in a non-line-of-sight multipath environment by applying the extended Kalman filter. The proposed tracking technique requires at least one base station and exploits the non-line-of-sight propagations to estimate the three-dimensional trajectory of a mobile terminal by considering the successive angle-of-departure, angle-of-arrival, and time-of-arrival measurements under the assumption of stationary scatterers. Additionally, the position of the scatterers is determined implicitly. It is shown, by simulations, that the proposed three-dimensional tracking technique can estimate the trajectory of a mobile terminal in non-line-of-sight multipath environments very well. In general, the proposed tracking technique improves the position estimates of the mobile terminal compared with tracking made by successive independent position estimates. The improvement in position estimates comes from the exploitation of the correlation between successive measurements which arise from the physical mobility constraints of the mobile terminal.
机译:最近,几位作者提出了不同的室内定位和跟踪算法。大多数提出的室内定位和跟踪算法都试图识别和减轻由非视距传播路径引起的误差。在本文中,我们提出了一种三维跟踪技术,以通过应用扩展卡尔曼滤波器来跟踪在非视距多路径环境中移动的移动终端。所提出的跟踪技术需要至少一个基站并且利用非视线传播来通过考虑连续的离开角度,到达角度和时间来估计移动终端的三维轨迹。静止散射体假设下的到达量测量。另外,隐式确定散射体的位置。通过仿真表明,所提出的三维跟踪技术可以很好地估计非视距多径环境中移动终端的轨迹。通常,与由连续的独立位置估计所进行的跟踪相比,所提出的跟踪技术改善了移动终端的位置估计。位置估计的改进来自对由于移动终端的物理移动性约束而产生的连续测量之间的相关性的利用。

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