Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements

Positioning between multiple users without any given infrastructure is essential for many applications, such as emergency response in disaster areas. Traditional approaches based on inertial-measurement units (IMU) are able to measure position changes without any reference, but the accuracy deterior...

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Main Authors: Liu, Ran, Yuen, Chau, Do, Tri-Nhut, Zhang, Meng., Guan, Yong Liang, Tan, U-Xuan
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/151567
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1515672021-06-21T07:57:51Z Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements Liu, Ran Yuen, Chau Do, Tri-Nhut Zhang, Meng. Guan, Yong Liang Tan, U-Xuan School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Cooperative Positioning Ultra-wideband Ranging Positioning between multiple users without any given infrastructure is essential for many applications, such as emergency response in disaster areas. Traditional approaches based on inertial-measurement units (IMU) are able to measure position changes without any reference, but the accuracy deteriorates due to error accumulation for long terms. Particularly, it is challenging to deal with irregular walking patterns of users. This paper proposes to combine IMU and radio measurements (i.e., peer-to-peer Wifi received signal strength and peer-to-peer UWB ranging) for the positioning of a group of mobile users in emergency response, where no fixed anchors and no infrastructure are available. We incorporate the IMU and radio measurements into the particle filtering, which has the capability to cooperatively position a group of mobile users and recover from any potential tracking failures. By fusing the long-range Wifi RSS and short-range UWB ranging measurements, we can take the advantages of both sensors and achieve an accurate and robust positioning system. We have conducted experiments to validate the proposed approach both in a simulation and a real world experiment. Our experimental results show that the combination of Wifi and UWB measurements provides a positioning accuracy of 2.6 m, which is an improvement of 26% and 10% as compared with Wifi (3.5 m) and UWB (2.9 m) alone. This work is funded by the National Natural Science Foundation of China (No. 61601381 and 61750110529) and the Sichuan Science and Technology Program (No. 2019YFH0161 and 2019JDTD0019). 2021-06-21T07:57:50Z 2021-06-21T07:57:50Z 2019 Journal Article Liu, R., Yuen, C., Do, T., Zhang, M., Guan, Y. L. & Tan, U. (2019). Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements. Information Fusion, 56, 93-102. https://dx.doi.org/10.1016/j.inffus.2019.10.009 1566-2535 0000-0002-6343-4645 0000-0002-9307-2120 0000-0003-2188-8195 https://hdl.handle.net/10356/151567 10.1016/j.inffus.2019.10.009 2-s2.0-85073607468 56 93 102 en Information Fusion © 2019 Elsevier B.V. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Cooperative Positioning
Ultra-wideband Ranging
spellingShingle Engineering::Electrical and electronic engineering
Cooperative Positioning
Ultra-wideband Ranging
Liu, Ran
Yuen, Chau
Do, Tri-Nhut
Zhang, Meng.
Guan, Yong Liang
Tan, U-Xuan
Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements
description Positioning between multiple users without any given infrastructure is essential for many applications, such as emergency response in disaster areas. Traditional approaches based on inertial-measurement units (IMU) are able to measure position changes without any reference, but the accuracy deteriorates due to error accumulation for long terms. Particularly, it is challenging to deal with irregular walking patterns of users. This paper proposes to combine IMU and radio measurements (i.e., peer-to-peer Wifi received signal strength and peer-to-peer UWB ranging) for the positioning of a group of mobile users in emergency response, where no fixed anchors and no infrastructure are available. We incorporate the IMU and radio measurements into the particle filtering, which has the capability to cooperatively position a group of mobile users and recover from any potential tracking failures. By fusing the long-range Wifi RSS and short-range UWB ranging measurements, we can take the advantages of both sensors and achieve an accurate and robust positioning system. We have conducted experiments to validate the proposed approach both in a simulation and a real world experiment. Our experimental results show that the combination of Wifi and UWB measurements provides a positioning accuracy of 2.6 m, which is an improvement of 26% and 10% as compared with Wifi (3.5 m) and UWB (2.9 m) alone.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Liu, Ran
Yuen, Chau
Do, Tri-Nhut
Zhang, Meng.
Guan, Yong Liang
Tan, U-Xuan
format Article
author Liu, Ran
Yuen, Chau
Do, Tri-Nhut
Zhang, Meng.
Guan, Yong Liang
Tan, U-Xuan
author_sort Liu, Ran
title Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements
title_short Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements
title_full Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements
title_fullStr Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements
title_full_unstemmed Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements
title_sort cooperative positioning for emergency responders using self imu and peer-to-peer radios measurements
publishDate 2021
url https://hdl.handle.net/10356/151567
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