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Article

The Rescuer’s Navigation in Metro Stations Based on Inertial Sensors and WiFi

by
Qingyong Wang
1,
Weiqiang Qu
2,*,
Jian Chen
3,4 and
Zhiwei Wang
5
1
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100091, China
2
Shanghai StreamRail Transportation Equipment Co., Ltd., Shanghai 200126, China
3
School of Electrical and Information Engineering, Tianjian University, Tianjin 300072, China
4
Zhejiang StreamRail Intelligent Control Technology Co., Ltd., Jiaxing 314001, China
5
School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030, China
*
Author to whom correspondence should be addressed.
Electronics 2023, 12(1), 108; https://doi.org/10.3390/electronics12010108
Submission received: 1 November 2022 / Revised: 19 December 2022 / Accepted: 21 December 2022 / Published: 27 December 2022
(This article belongs to the Special Issue Recent Advances in Wireless Ad Hoc and Sensor Networks)
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Abstract

The demand for metro station rescue navigation is increasing. This paper presents an improved particle filter to challenge the navigation problem in metro stations. A particle filter is often used to estimate the position of pedestrians. However, the particle-impoverishment problem is inevitable. To solve this problem, a dingo optimization algorithm (DOA) with global search ability is introduced, and an improved particle filter called a dingo particle filter (DPF) is proposed. Dead reckoning (DR) is taken as the system equation, and WiFi matching results are used as the observation equation. The improved particle filter algorithm introduces a dingo optimization algorithm to improve the diversity of particles and effectively reduce the particle-impoverishment problem. The experimental results show that the average positioning accuracy is 1.1 m and 1.2 m.
Keywords: dead reckoning; WiFi; dingo optimization algorithm; dingo particle filter dead reckoning; WiFi; dingo optimization algorithm; dingo particle filter

Share and Cite

MDPI and ACS Style

Wang, Q.; Qu, W.; Chen, J.; Wang, Z. The Rescuer’s Navigation in Metro Stations Based on Inertial Sensors and WiFi. Electronics 2023, 12, 108. https://doi.org/10.3390/electronics12010108

AMA Style

Wang Q, Qu W, Chen J, Wang Z. The Rescuer’s Navigation in Metro Stations Based on Inertial Sensors and WiFi. Electronics. 2023; 12(1):108. https://doi.org/10.3390/electronics12010108

Chicago/Turabian Style

Wang, Qingyong, Weiqiang Qu, Jian Chen, and Zhiwei Wang. 2023. "The Rescuer’s Navigation in Metro Stations Based on Inertial Sensors and WiFi" Electronics 12, no. 1: 108. https://doi.org/10.3390/electronics12010108

APA Style

Wang, Q., Qu, W., Chen, J., & Wang, Z. (2023). The Rescuer’s Navigation in Metro Stations Based on Inertial Sensors and WiFi. Electronics, 12(1), 108. https://doi.org/10.3390/electronics12010108

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