利用估计的多路径分量的相位信息进行跟踪和定位

Meifang Zhu, Joao Vieira, Yubin Kuang, Kalle Åström, A. Molisch, F. Tufvesson
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引用次数: 31

摘要

基于无线电的高分辨率定位和跟踪是新的或改进的蜂窝服务的关键推动因素。在这项工作中,我们的目标是使用20-40 MHz的标准蜂窝带宽以精确到厘米的精度跟踪用户的运动。该目标是通过使用来自无线电信道多径分量(mpc)的相位信息来实现的。首先,利用扩展卡尔曼滤波(EKF)估计和跟踪MPCs的相位信息。每个被跟踪的mpc都可以被视为来自一个未知位置的虚拟发射机。采用基于运动结构方法的到达时差分(TDOA)定位算法,将跟踪的相位信息转化为传播距离,可以估计出用户的运动,误差的标准偏差为4.0 cm。这篇论文应该被视为一个原理证明,并且通过测量表明,基于相位的定位可以是一个有希望的解决方案,用于在细胞系统中具有非凡的精度的运动跟踪。
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Tracking and positioning using phase information from estimated multi-path components
High resolution radio based positioning and tracking is a key enabler for new or improved cellular services. In this work, we are aiming to track user movements with accuracy down to centimeters using standard cellular bandwidths of 20-40 MHz. The goal is achieved by using phase information from the multi-path components (MPCs) of the radio channels. First, an extended Kalman filter (EKF) is used to estimate and track the phase information of the MPCs. Each of the tracked MPCs can be seen as originating from a virtual transmitter at an unknown position. By using a time difference of arrival (TDOA) positioning algorithm based on a structure-of-motion approach and translating the tracked phase information into propagation distances, the user movements can be estimated with a standard deviation of the error of 4.0 cm. The paper should be viewed as a proof-of-principle and it is shown by measurements that phase based positioning can be a promising solution for movement tracking in cellular systems with extraordinary accuracy.
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