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

Behailu Y. Shikur, M. Farmani, T. Weber
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引用次数: 7

Abstract

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.
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NLOS 多径环境中基于 TOA/AOA/AOD 的 3-D 移动终端跟踪
最近,一些学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少非视距传播路径造成的误差。在本文中,我们提出了一种三维跟踪技术,通过应用扩展卡尔曼滤波器来跟踪在非视距多径环境中移动的移动终端。所提出的跟踪技术至少需要一个基站,并利用非视距传播,在散射体静止的假设下,通过考虑连续的离去角、到达角和到达时间测量来估计移动终端的三维轨迹。此外,还隐含地确定了散射体的位置。模拟结果表明,所提出的三维跟踪技术能很好地估计非视距多径环境中移动终端的轨迹。一般来说,与通过连续的独立位置估计进行跟踪相比,所提出的跟踪技术能改进移动终端的位置估计。位置估计值的改进来自于对连续测量值之间相关性的利用,而这种相关性来自于移动终端的物理移动限制。
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