Indoor Positioning Method Based on WiFi/Bluetooth and PDR Fusion Positioning

2021 13th International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2021-05-14 DOI:10.1109/ICACI52617.2021.9435887

Yijie Zhu, Xiaonan Luo, Shanwen Guan, Zhongshuai Wang

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引用次数: 9

Abstract

With the rapid development of the location service industry, various positioning technologies have emerged. Recently, the mainstream indoor positioning technologies include WiFi positioning and Bluetooth positioning. Various positioning methods have their own advantages and disadvantages due to their different positioning technologies. This paper proposes an indoor positioning method based on WiFi, Bluetooth and PDR fusion positioning. Firstly, WiFi positioning and Bluetooth positioning are achieved by improving the weighted centroid method. The WiFi and Bluetooth positioning are integrated, and the positioning result is integrated by weight adaptive constraint, which solves the problem of WiFi signal instability. The fusion positioning result and PDR positioning fusion are used to achieve fusion positioning through UKF, which solves the problem of large cumulative error in PDR positioning. The experiment proves that the WiFi, Bluetooth and PDR fusion positioning results are higher than the positioning accuracy of the individual positioning, which solves the problem that the WiFi positioning signal is unstable and the PDR cumulative error is large.

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基于WiFi/蓝牙和PDR融合定位的室内定位方法

随着定位服务行业的快速发展，各种定位技术应运而生。目前主流的室内定位技术包括WiFi定位和蓝牙定位。由于定位技术的不同，各种定位方法各有优缺点。本文提出了一种基于WiFi、蓝牙和PDR融合定位的室内定位方法。首先，通过改进加权质心法实现WiFi定位和蓝牙定位。将WiFi和蓝牙定位进行集成，通过权值自适应约束对定位结果进行集成，解决了WiFi信号不稳定的问题。利用融合定位结果和PDR定位融合，通过UKF实现融合定位，解决了PDR定位累积误差大的问题。实验证明，WiFi、蓝牙和PDR融合定位结果高于单个定位的定位精度，解决了WiFi定位信号不稳定、PDR累积误差大的问题。

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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2021 13th International Conference on Advanced Computational Intelligence (ICACI)

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