[1]马栋榉,李 敏,张端金.基于波形边缘检测的Wi-Fi室内定位信号TOA估计[J].郑州大学学报(工学版),2022,43(03):15-20.[doi:10.13705/j.issn.1671-6833.2022.03.014]
　MA Dongju,LI Min,ZHANG Duanjin.TOA Estimation of Indoor Localization by Wi-Fi Signal Based on Waveform Edge Detection[J].Journal of Zhengzhou University (Engineering Science),2022,43(03):15-20.[doi:10.13705/j.issn.1671-6833.2022.03.014]
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基于波形边缘检测的Wi-Fi室内定位信号TOA估计()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
43
期数:
2022年03期
页码:
15-20
栏目:
出版日期:
2022-04-10

文章信息/Info

Title:
TOA Estimation of Indoor Localization by Wi-Fi Signal Based on Waveform Edge Detection
作者:
马栋榉1; 李 敏2; 张端金1
1.郑州大学信息工程学院;2.中国电子设备系统工程公司研究所;

Author(s):
MA Dongju1;  LI Min2;  ZHANG Duanjin1
1.School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China;
2.Institute of China Electronic Equipment System Engineering Corporation, Beijing 100141, China
关键词:
Keywords:
TOA;  indoor localization;  waveform edge detection;  Wi-Fi;  CSI;  phase information
分类号:
TN929. 5
DOI:
10.13705/j.issn.1671-6833.2022.03.014
文献标志码:
A
摘要:
摘 要: 为了实现室内目标的精准定位,研究基于 Wi-Fi 设备的信号到达时间( TOA) 参数具有重要意义。 常用 TOA 估计方法主要存在估计偏差、算法复杂以及不具有普适性等问题。 针对现有方法的缺陷,提出了一种新的 TOA 估计方法。 该方法对 Wi-Fi 信号波形进行采样,采用空-频-时三维搜索算法,计算某一子载波间隔一个采样周期的相邻区间分别对应的信道状态信息的相位差,通过相位差判断计算信道状态信息 值的信号处理区间是否进入波形边缘,得到 TOA 的估计值。 数值仿真结果表明:在信噪比 SNR 超过 25 dB 时,本文方法获得亚米级精度的概率超过 58%随着 Wi-Fi 信号带宽的扩展,本文方法能够显著提升室内定位性能。 本文方法克服了传统方法的缺陷,为信号到达时间估计提供了一条新的思路。
Abstract:
To locate the target indoor precisely, it was important to investigate on the Wi-Fi based indoor localization parameter, namely, time of arrival(TOA).The main weakness of primary TOA estimation methods were estimation bias, complex algorithm，and lack of universality.The new method had a clear physical meaning, and could pave a new way for the TOA estimation.According to the weakness of these traditional methods, a new TOA estimation algorithm was proposed in this paper.Based on sampling of waveform, the space-frequency-time searching algorithm, this algorithm calculated the phase difference between adjacent CSI calculation time span, and judged whether the CSI calculation time span could reach the edge of waveform, as to get the result of TOA estimation.Numerical results showed that the new method could achieve more than 58% submeter-level precision when the signal-to-noise ratio was above 25 dB.Moreover, the performance of the method upgraded as the bandwidth of the Wi-Fi signal expanded.The new method could overcome the weakness of traditional method, and pave a new way for the TOA estimation.

参考文献/References:

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更新日期/Last Update: 2022-05-02