Indoor wireless localization with Ultrawide band sensors

Indoor localization is used in various industries such as healthcare, robotics etc. However, classical methods such as GPS are not viable due to their costs and other limitations. state of the art methods such as optical motion capture has high accuracy in measurement, but it is complex, costly and...

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Bibliographic Details
Main Author: Ng, Benny Zi Hao
Other Authors: Soh Cheong Boon
Format: Final Year Project (FYP)
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78403
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author Ng, Benny Zi Hao
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Ng, Benny Zi Hao
author_sort Ng, Benny Zi Hao
collection NTU
description Indoor localization is used in various industries such as healthcare, robotics etc. However, classical methods such as GPS are not viable due to their costs and other limitations. state of the art methods such as optical motion capture has high accuracy in measurement, but it is complex, costly and requires calibration and it is greatly affected by lighting. This project explores indoor positioning using ultra-wideband with Kalman filters for its high accuracy in localization and ability to implement TDMA to measure multiple transmitters. The UWB sensor network consists of 2 mobile nodes attached to a pendulum setup and 4 anchor nodes, Decawave DWM1000 are utilized for distance estimation between 2 nodes. The motion capture system was used as a benchmark to improve the UWB system. The RMSE was calculated and the Results show that the accuracy of tracking produced the sensor network can provide coordinates with errors in the millimetre domain. The main advantage of the system is its cost, and compact form factor, when compared to more expensive systems such as the optical motion analysis system.
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spelling ntu-10356/784032023-07-07T16:27:10Z Indoor wireless localization with Ultrawide band sensors Ng, Benny Zi Hao Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Indoor localization is used in various industries such as healthcare, robotics etc. However, classical methods such as GPS are not viable due to their costs and other limitations. state of the art methods such as optical motion capture has high accuracy in measurement, but it is complex, costly and requires calibration and it is greatly affected by lighting. This project explores indoor positioning using ultra-wideband with Kalman filters for its high accuracy in localization and ability to implement TDMA to measure multiple transmitters. The UWB sensor network consists of 2 mobile nodes attached to a pendulum setup and 4 anchor nodes, Decawave DWM1000 are utilized for distance estimation between 2 nodes. The motion capture system was used as a benchmark to improve the UWB system. The RMSE was calculated and the Results show that the accuracy of tracking produced the sensor network can provide coordinates with errors in the millimetre domain. The main advantage of the system is its cost, and compact form factor, when compared to more expensive systems such as the optical motion analysis system. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-19T09:19:21Z 2019-06-19T09:19:21Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78403 en Nanyang Technological University 52 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Ng, Benny Zi Hao
Indoor wireless localization with Ultrawide band sensors
title Indoor wireless localization with Ultrawide band sensors
title_full Indoor wireless localization with Ultrawide band sensors
title_fullStr Indoor wireless localization with Ultrawide band sensors
title_full_unstemmed Indoor wireless localization with Ultrawide band sensors
title_short Indoor wireless localization with Ultrawide band sensors
title_sort indoor wireless localization with ultrawide band sensors
topic DRNTU::Engineering::Electrical and electronic engineering
url http://hdl.handle.net/10356/78403
work_keys_str_mv AT ngbennyzihao indoorwirelesslocalizationwithultrawidebandsensors