Indoor location and position tracking system using UWB-IR and IMU

This report presents the research and test results regarding an indoor positioning system by utilising the integration of IMU sensors and UWB devices. Madgwick’s filter algorithm is used to correct the orientation of the sensor, and by applying the integral method, the displacement of the sensor is...

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Main Author: Wang, Kailun
Other Authors: Law Choi Look
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157283
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1572832023-07-07T19:00:27Z Indoor location and position tracking system using UWB-IR and IMU Wang, Kailun Law Choi Look School of Electrical and Electronic Engineering ECLLAW@ntu.edu.sg Engineering::Electrical and electronic engineering This report presents the research and test results regarding an indoor positioning system by utilising the integration of IMU sensors and UWB devices. Madgwick’s filter algorithm is used to correct the orientation of the sensor, and by applying the integral method, the displacement of the sensor is calculated from the acceleration. The UWB devices were used as a subsystem to support the output from the IMU subsystem. The entire system was deployed on the Linux operation system in Raspberry Pi. It is found that although the algorithm and theory are feasible, the system operation performance is primarily affected by the system latency, resulting in the IMU subsystem failing to output satisfactory results. On the other hand, the UWB subsystem performs well and largely determines the whole system’s performance. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-14T06:09:06Z 2022-05-14T06:09:06Z 2022 Final Year Project (FYP) Wang, K. (2022). Indoor location and position tracking system using UWB-IR and IMU. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157283 https://hdl.handle.net/10356/157283 en application/pdf Nanyang Technological University
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
spellingShingle Engineering::Electrical and electronic engineering
Wang, Kailun
Indoor location and position tracking system using UWB-IR and IMU
description This report presents the research and test results regarding an indoor positioning system by utilising the integration of IMU sensors and UWB devices. Madgwick’s filter algorithm is used to correct the orientation of the sensor, and by applying the integral method, the displacement of the sensor is calculated from the acceleration. The UWB devices were used as a subsystem to support the output from the IMU subsystem. The entire system was deployed on the Linux operation system in Raspberry Pi. It is found that although the algorithm and theory are feasible, the system operation performance is primarily affected by the system latency, resulting in the IMU subsystem failing to output satisfactory results. On the other hand, the UWB subsystem performs well and largely determines the whole system’s performance.
author2 Law Choi Look
author_facet Law Choi Look
Wang, Kailun
format Final Year Project
author Wang, Kailun
author_sort Wang, Kailun
title Indoor location and position tracking system using UWB-IR and IMU
title_short Indoor location and position tracking system using UWB-IR and IMU
title_full Indoor location and position tracking system using UWB-IR and IMU
title_fullStr Indoor location and position tracking system using UWB-IR and IMU
title_full_unstemmed Indoor location and position tracking system using UWB-IR and IMU
title_sort indoor location and position tracking system using uwb-ir and imu
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157283
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