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Improvement of Wi-Fi based indoor localization using different positioning methods | |
Author | Seinn Lei Lei Tun |
Call Number | AIT Caps. Proj. no.TC-17-01 |
Subject(s) | Wireless communication systems Indoor positioning systems (Wireless localization) |
Note | A capstone project submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Telecommunication Engineering, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Caps. Proj. ; no. TC-17-01 |
Abstract | Wireless indoor positioning systems have become very mainstream these days. These sys- tems have been advanced used in many applications such as locating or real-time tracking of physical properties in the indoor environment precisely, so the requirement for indoor localization services has become important in some of the marketplaces. Moreover, indoor localization addresses the weakness of Global Positioning System (GPS) inside an indoor buildings. Based on this, this project aims to build an indoor localization using Wireless Local Area Networks (WLANs). In order to do so, we used the Wi-Fi fingerprinting method and dif- ferent positioning methods; Least Squares Estimation (LSE) and Weighted Least Squares Estimation (WLSE) to estimate the location of a user. The main objective is to compare the related methods by accuracy of the location and do the error calculation to evaluate the performance. |
Year | 2017 |
Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. TC-17-01 |
Type | Capstone Project |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Telecommunications (TC) |
Chairperson(s) | Attaphongse Taparugssanagorn; |
Examination Committee(s) | Mongkol Ekpanyapong; |
Degree | Capstone Project (B. Sc.) - Asian Institute of Technology, 2017 |