Please use this identifier to cite or link to this item:
Title: RSS and inertial navigation based indoor localization
Authors: Chow, Joel Kin Hung
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Chow, J. K. H. (2022). RSS and inertial navigation based indoor localization. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: A3237-211 
Abstract: 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.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
3.44 MBAdobe PDFView/Open

Page view(s)

Updated on Sep 30, 2023


Updated on Sep 30, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.