Positioning using UWB-IR and IMU

This dissertation is concentrated on how to reduce the number of UWB (Ultra wide-band Impulse Radio) anchor nodes while maintaining certain level of positioning accuracy by integration with IMU (Inertia Mesurement Unit). Meanwhile, the accumulated errors of IMU positioning introduced by integration...

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Bibliographic Details
Main Author: Lang, Hao
Other Authors: Law Choi Look
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/153440
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author Lang, Hao
author2 Law Choi Look
author_facet Law Choi Look
Lang, Hao
author_sort Lang, Hao
collection NTU
description This dissertation is concentrated on how to reduce the number of UWB (Ultra wide-band Impulse Radio) anchor nodes while maintaining certain level of positioning accuracy by integration with IMU (Inertia Mesurement Unit). Meanwhile, the accumulated errors of IMU positioning introduced by integration can be calibrated using UWB measurements. Important properties of UWB-IR and IMU sensors are introduced. The positioning method and drifts calibration of IMU are discussed as well as the ranging method of UWB-IR standalone. Loose coupling and tight coupling are chosen to integrate the UWB-IR position data with IMU sensors data. Compared to the single positioning method, both of the fusion approaches can offer better accuracy. The tight coupling performs better on the NLOS conditions. The experiments and result analyses were mainly implemented on the Raspberry Pi with Python.
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spelling ntu-10356/1534402023-07-04T17:01:21Z Positioning using UWB-IR and IMU Lang, Hao Law Choi Look School of Electrical and Electronic Engineering ECLLAW@ntu.edu.sg Engineering::Electrical and electronic engineering This dissertation is concentrated on how to reduce the number of UWB (Ultra wide-band Impulse Radio) anchor nodes while maintaining certain level of positioning accuracy by integration with IMU (Inertia Mesurement Unit). Meanwhile, the accumulated errors of IMU positioning introduced by integration can be calibrated using UWB measurements. Important properties of UWB-IR and IMU sensors are introduced. The positioning method and drifts calibration of IMU are discussed as well as the ranging method of UWB-IR standalone. Loose coupling and tight coupling are chosen to integrate the UWB-IR position data with IMU sensors data. Compared to the single positioning method, both of the fusion approaches can offer better accuracy. The tight coupling performs better on the NLOS conditions. The experiments and result analyses were mainly implemented on the Raspberry Pi with Python. Master of Science (Communications Engineering) 2021-12-02T06:35:09Z 2021-12-02T06:35:09Z 2021 Thesis-Master by Coursework Lang, H. (2021). Positioning using UWB-IR and IMU. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153440 https://hdl.handle.net/10356/153440 en application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering
Lang, Hao
Positioning using UWB-IR and IMU
title Positioning using UWB-IR and IMU
title_full Positioning using UWB-IR and IMU
title_fullStr Positioning using UWB-IR and IMU
title_full_unstemmed Positioning using UWB-IR and IMU
title_short Positioning using UWB-IR and IMU
title_sort positioning using uwb ir and imu
topic Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/153440
work_keys_str_mv AT langhao positioningusinguwbirandimu