基于边缘计算的多源室内定位系统

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI:10.1109/JEEIT58638.2023.10185844

Umba Ilunga Jeannick, Haibo Wang, M. Ma

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引用次数: 0

摘要

由于其在众多应用中的重要性，室内定位已经获得了越来越多的兴趣。WiFi指纹法和行人航位推算法是最常用的室内定位方法。然而，这两种方法在准确性和响应时间方面都有一定的限制，使得它们对某些应用程序无效。为了克服这些问题，我们提出了一种结合这两种方法的基于边缘计算的系统。我们的实验结果表明，我们提出的方法优于独立方法，在0.7秒内给出0.75 m的平均定位误差。

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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Multisource Indoor Positioning System Based on Edge Computing

Due to its significance in numerous applications, indoor positioning has garnered increasing interest. The WiFi fingerprinting method and pedestrian dead reckoning approach are the most popular methods for indoor positioning. However, both methods have certain limitations in terms of accuracy and response time, rendering them ineffective for some applications. To overcome these problems, we propose a system based on edge computing that combines these two methods. The results of our experiments show that our proposed method outperforms standalone methods by giving an average positioning error of 0.75 m in just 0.7 seconds.

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来源期刊

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)

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