Indoor Vehicle Navigation Based on Received Signal Strength in WSN
碩士 === 國立成功大學 === 航空太空工程學系碩博士班 === 98 === Although Global Positioning System (GPS) has been verified to offer high accuracy positioning, it is constrained by line of sight signals from satellites that indoor applications are not available. Based on signal propagation, different positioning techniqu...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/99061340901389078686 |
id |
ndltd-TW-098NCKU5295038 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-098NCKU52950382015-11-06T04:03:46Z http://ndltd.ncl.edu.tw/handle/99061340901389078686 Indoor Vehicle Navigation Based on Received Signal Strength in WSN 基於無線感測網路接收訊號強度的室內載具導航 Hung-YiKuo 郭鴻毅 碩士 國立成功大學 航空太空工程學系碩博士班 98 Although Global Positioning System (GPS) has been verified to offer high accuracy positioning, it is constrained by line of sight signals from satellites that indoor applications are not available. Based on signal propagation, different positioning techniques can be applied using time of arrival (TOA), angle of arrival (AOA) and received signal strength (RSS), if a wireless sensor network can be established. In this thesis, a wireless sensor network is established for indoor positioning utilizing the received signal strength technology. In the proposed system, a mobile vehicle is used in positioning for guidance through an established RF beacons from the wireless sensor network concept. From known beacon positions, the mobile vehicle can calculate the received signal strength from all beacons to determine its mobile position in real time. The theoretical support to system hardware and software design has accomplished the proposed system in preliminary. Methodology is verified with different scenario tests. The results are discussed with defects and achievements. Chin-E Lin 林清一 2010 學位論文 ; thesis 77 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立成功大學 === 航空太空工程學系碩博士班 === 98 === Although Global Positioning System (GPS) has been verified to offer high accuracy positioning, it is constrained by line of sight signals from satellites that indoor applications are not available. Based on signal propagation, different positioning techniques can be applied using time of arrival (TOA), angle of arrival (AOA) and received signal strength (RSS), if a wireless sensor network can be established.
In this thesis, a wireless sensor network is established for indoor positioning utilizing the received signal strength technology. In the proposed system, a mobile vehicle is used in positioning for guidance through an established RF beacons from the wireless sensor network concept. From known beacon positions, the mobile vehicle can calculate the received signal strength from all beacons to determine its mobile position in real time. The theoretical support to system hardware and software design has accomplished the proposed system in preliminary. Methodology is verified with different scenario tests. The results are discussed with defects and achievements.
|
author2 |
Chin-E Lin |
author_facet |
Chin-E Lin Hung-YiKuo 郭鴻毅 |
author |
Hung-YiKuo 郭鴻毅 |
spellingShingle |
Hung-YiKuo 郭鴻毅 Indoor Vehicle Navigation Based on Received Signal Strength in WSN |
author_sort |
Hung-YiKuo |
title |
Indoor Vehicle Navigation Based on Received Signal Strength in WSN |
title_short |
Indoor Vehicle Navigation Based on Received Signal Strength in WSN |
title_full |
Indoor Vehicle Navigation Based on Received Signal Strength in WSN |
title_fullStr |
Indoor Vehicle Navigation Based on Received Signal Strength in WSN |
title_full_unstemmed |
Indoor Vehicle Navigation Based on Received Signal Strength in WSN |
title_sort |
indoor vehicle navigation based on received signal strength in wsn |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/99061340901389078686 |
work_keys_str_mv |
AT hungyikuo indoorvehiclenavigationbasedonreceivedsignalstrengthinwsn AT guōhóngyì indoorvehiclenavigationbasedonreceivedsignalstrengthinwsn AT hungyikuo jīyúwúxiàngǎncèwǎnglùjiēshōuxùnhàoqiángdùdeshìnèizàijùdǎoháng AT guōhóngyì jīyúwúxiàngǎncèwǎnglùjiēshōuxùnhàoqiángdùdeshìnèizàijùdǎoháng |
_version_ |
1718125221964152832 |