Development of indoor positioning system by using phone equipped sensors
In recent decades, mobile devices have made its way into people’s daily lives provided countless benefits. One valuable function that mobile devices offer is providing location services to users. Although in outdoor environment, satellite based GPS system has proven to provide relatively reliable an...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/72143 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-72143 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-721432023-07-07T16:48:57Z Development of indoor positioning system by using phone equipped sensors Lu, Yunfan Xie Lihua School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In recent decades, mobile devices have made its way into people’s daily lives provided countless benefits. One valuable function that mobile devices offer is providing location services to users. Although in outdoor environment, satellite based GPS system has proven to provide relatively reliable and accurate location services, such location service in indoor environment remains a challenge due to the lack of direct transmission channels between GPS satellite and receivers. Among various alternative technologies, WIFI localization has the advantage of being the most convenient and low-cost solution because it can easily make use of existing infrastructure and is praised as being the cheapest solution. However, WIFI often suffers the problem of having poor accuracy and parsimonious delay. To overcome the limitations of WIFI, we made use of the data collected by Inertia Measurement Unit(IMU) and fused WIFI measurement with position prediction calculated by smartphone-based pedestrian dead reckoning algorithm (PDR) using particle filter. An android application is developed to evaluate the performance of the proposed approach in real environment. Bachelor of Engineering 2017-05-29T04:31:46Z 2017-05-29T04:31:46Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72143 en Nanyang Technological University 65 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Lu, Yunfan Development of indoor positioning system by using phone equipped sensors |
description |
In recent decades, mobile devices have made its way into people’s daily lives provided countless benefits. One valuable function that mobile devices offer is providing location services to users. Although in outdoor environment, satellite based GPS system has proven to provide relatively reliable and accurate location services, such location service in indoor environment remains a challenge due to the lack of direct transmission channels between GPS satellite and receivers. Among various alternative technologies, WIFI localization has the advantage of being the most convenient and low-cost solution because it can easily make use of existing infrastructure and is praised as being the cheapest solution. However, WIFI often suffers the problem of having poor accuracy and parsimonious delay. To overcome the limitations of WIFI, we made use of the data collected by Inertia Measurement Unit(IMU) and fused WIFI measurement with position prediction calculated by smartphone-based pedestrian dead reckoning algorithm (PDR) using particle filter. An android application is developed to evaluate the performance of the proposed approach in real environment. |
author2 |
Xie Lihua |
author_facet |
Xie Lihua Lu, Yunfan |
format |
Final Year Project |
author |
Lu, Yunfan |
author_sort |
Lu, Yunfan |
title |
Development of indoor positioning system by using phone equipped sensors |
title_short |
Development of indoor positioning system by using phone equipped sensors |
title_full |
Development of indoor positioning system by using phone equipped sensors |
title_fullStr |
Development of indoor positioning system by using phone equipped sensors |
title_full_unstemmed |
Development of indoor positioning system by using phone equipped sensors |
title_sort |
development of indoor positioning system by using phone equipped sensors |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/72143 |
_version_ |
1772828012540067840 |