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

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

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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,一些作者提出了不同的室内定位和跟踪算法。大多数建议的室内定位和跟踪算法尝试识别和减轻由非线的视距传播路径中的错误。在本文中,我们提出了一个三维跟踪技术通过将扩展的卡尔曼滤波器来跟踪移动终端在非线的视线多径环境,其移动。所提出的跟踪技术需要至少一个基站和利用了非线的视线的传播通过考虑连续场角出发,角度的到达,和时间来估计移动终端的三维轨迹固定散射的假设下-of到达测量。此外,散射体的位置被隐式地确定。它被示出,通过仿真,所提出的三维跟踪技术可以估算移动终端的轨迹在非视距的视线多径环境非常好。一般地,所提出的跟踪技术改善了与由连续的独立的位置估计跟踪由相比所述移动终端的位置估计。在位置估计的改进来自从移动终端的移动性的物理限制所出现连续测量之间的相关性的开采。

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