RSS and inertial navigation based indoor localization

Indoor localization has been gaining popularity, with its potential use cases it offers due, to the rise of Internet of Things (IoT) and drive for ubiquitous connectivity. On the other hand, recent advancements on phone inertial measurement unit has increased significantly, resulting in more accurat...

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Main Author: Chow, Joel Kin Hung
Other Authors: Tan Soon Yim
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158376
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1583762023-07-07T19:21:38Z RSS and inertial navigation based indoor localization Chow, Joel Kin Hung Tan Soon Yim School of Electrical and Electronic Engineering ESYTAN@ntu.edu.sg Engineering::Electrical and electronic engineering Indoor localization has been gaining popularity, with its potential use cases it offers due, to the rise of Internet of Things (IoT) and drive for ubiquitous connectivity. On the other hand, recent advancements on phone inertial measurement unit has increased significantly, resulting in more accurate measurements. In this paper, tests are conducted on a Samsung S21 smartphone to determine the accuracy of its accelerometer and gyroscope. The raw IMU data are compared against ground true values and processed for further analysis. A calibration step is also included in the test to reduce the accumulated errors. The paper is able to show even with increase in distance, the localized processed data is shown to be more accurate with calibration. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-03T05:12:19Z 2022-06-03T05:12:19Z 2022 Final Year Project (FYP) Chow, J. K. H. (2022). RSS and inertial navigation based indoor localization. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158376 https://hdl.handle.net/10356/158376 en A3237-211 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
Chow, Joel Kin Hung
RSS and inertial navigation based indoor localization
description Indoor localization has been gaining popularity, with its potential use cases it offers due, to the rise of Internet of Things (IoT) and drive for ubiquitous connectivity. On the other hand, recent advancements on phone inertial measurement unit has increased significantly, resulting in more accurate measurements. In this paper, tests are conducted on a Samsung S21 smartphone to determine the accuracy of its accelerometer and gyroscope. The raw IMU data are compared against ground true values and processed for further analysis. A calibration step is also included in the test to reduce the accumulated errors. The paper is able to show even with increase in distance, the localized processed data is shown to be more accurate with calibration.
author2 Tan Soon Yim
author_facet Tan Soon Yim
Chow, Joel Kin Hung
format Final Year Project
author Chow, Joel Kin Hung
author_sort Chow, Joel Kin Hung
title RSS and inertial navigation based indoor localization
title_short RSS and inertial navigation based indoor localization
title_full RSS and inertial navigation based indoor localization
title_fullStr RSS and inertial navigation based indoor localization
title_full_unstemmed RSS and inertial navigation based indoor localization
title_sort rss and inertial navigation based indoor localization
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158376
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