A Deterministic Localization Network for TDOA Measurement

XUE Yuan; SU Wei; WANG Hong-chao; YANG Dong

doi:10.3969/j.issn.0372-2112.2019.10.001

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A Deterministic Localization Network for TDOA Measurement

更新时间：2025-07-16

- A Deterministic Localization Network for TDOA Measurement
- Acta Electronica Sinica Vol. 47, Issue 10, Pages: 2017-2024(2019)
- 作者机构：
  
  北京交通大学电子信息工程学院,北京,100044
- 作者简介：
- 基金信息：
  
  Fundamental Research Funds for the Central Universities (No.2018YJS308);National Natural Science Foundation of China (No.61701018)
- DOI：10.3969/j.issn.0372-2112.2019.10.001
  CLC： TP393
- Published Online：25 October 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
XUE Yuan, SU Wei, WANG Hong-chao, et al. A Deterministic Localization Network for TDOA Measurement[J]. Acta Electronica Sinica, 2019, 47(10): 2017-2024.
DOI：

XUE Yuan, SU Wei, WANG Hong-chao, et al. A Deterministic Localization Network for TDOA Measurement[J]. Acta Electronica Sinica, 2019, 47(10): 2017-2024. DOI： 10.3969/j.issn.0372-2112.2019.10.001.

摘要

在工业场景中，复杂无线环境对定位网络的影响导致定位存在实时可靠性差、精度低的问题.基于此，本文设计了在信标节点异步情况下支持TDOA（Time Difference-Of-Arrival）测量的确定性定位网络模型（ASync-DetNET），同时提出了适用于ASync-DetNET的节点感知模型和定位模型.通过简化了定位节点对数据信息的获取方式，合理调度通信资源，使得能够满足不同精度的定位需求，在保障定位精度的前提下，提高定位的实时可靠性.本文在实际搭建的面向复杂工业环境的UWB（Ultra-WideBand）室内定位系统中进行测试，结果表明文中方法能够在一定程度上提高了定位精度，保证定位的确定性.

Abstract

In the industrial environment

the influence of the complex wireless communication on the localization network leads to poor real-time reliability and low accuracy of localization. This paper proposes the deterministic localization network model for TDOA (time difference-of-arrival) measurement in the case of asynchronous anchor nodes called ASync-DetNET. After that

we propose the sensing model and localization model

which can adapt to ASync-DetNET. These models can simplify the way of obtaining data information

comply with various requirements of localization accuracy and guarantee the real-time reliability with reasonably communication resources scheduling. Subsequently

we implement a localization system with ultra-wideband signals for complicated environment and finally we estimate the influence of the ASync-DetNET on the localization. The experiments show that the proposed models can improve the accuracy of localization and guarantee the deterministic of localization.

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