High-Precision Phase-Based Ranging Algorithm in Multipath Environments

Xin Wang, Z. Tian, Ze Li, Kaikai Liu, Liangbo Xie
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Abstract

With the development of the internet of things (IoT), localizing IoT gadgets has become very important, which can benefit various applications. Using the ranging-based method for target localization only needs a single antenna, which is very suitable for size-constrained IoT devices. However, phase errors due to the lack of time synchronization between the transmitter and receiver and multipath effects usually seriously affect the accuracy of ranging. This paper uses the two-way channel response to eliminate the phase errors. Then, the generation of additional unknown multipath signals is suppressed by taking the square root of the two-way channel response. Finally, the orthogonal matching pursuit (OMP) algorithm is used to estimate multipath signals. Experiment results show that the proposed method can achieve high-precision ranging in indoor multipath environments.
多路径环境下高精度相位测距算法
随着物联网(IoT)的发展,物联网设备的本地化变得非常重要,这可以使各种应用受益。使用基于距离的方法进行目标定位只需要一个天线,非常适合尺寸受限的物联网设备。然而,由于发射接收机之间缺乏时间同步以及多径效应导致的相位误差通常会严重影响测距精度。本文采用双向通道响应来消除相位误差。然后,通过对双向信道响应取平方根来抑制额外未知多径信号的产生。最后,采用正交匹配追踪(OMP)算法对多径信号进行估计。实验结果表明,该方法可以在室内多径环境下实现高精度测距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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