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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 朱浩華(Hao-hua Chu) | |
| dc.contributor.author | Ho-lin Chang | en |
| dc.contributor.author | 張鶴齡 | zh_TW |
| dc.date.accessioned | 2021-06-13T15:50:27Z | - |
| dc.date.available | 2008-07-02 | |
| dc.date.copyright | 2008-07-02 | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2008-06-26 | |
| dc.identifier.citation | [1] Ubisense. http://www.ubisense.net
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37907 | - |
| dc.description.abstract | 這篇論文提出了一個利用旋轉發信器所發展的一套精準室內定位系統：SpinLoc。SpinLoc利用旋轉發信器製造可預測且極具辨識性的都普勒訊號，達到公分等級的定位精準度。這套系統首先分析旋轉發信器發出的都普勒頻率位移，以求得從旋轉中心至目標物的方向角。利用兩到三個旋轉發信器求得許多個方向角後，便可以定到目標物的位置。經過設計及在MICA2 mote上實作之後，我們拿去室內停車場做實驗。實驗結果顯示SpinLoc達到50%小於40~50公分以及90%小於70~90公分的定位精準度。 | zh_TW |
| dc.description.abstract | This thesis proposes the novel use of spinning beacons for precise indoor localization. The proposed “SpinLoc” (Spinning Indoor Localization) system uses “spinning” (i.e., rotating) beacons to create and detect predictable and highly distinguishable Doppler signals for sub-meter localization accuracy. The system analyzes Doppler frequency shifts of signals from spinning beacons, which are then used to find the direction from the spinning center to the target. By obtaining direction of the target from two or more spinning beacons, SpinLoc can precisely locate stationary targets. After designing and implementing the system using MICA2 motes, its performance was tested in an indoor garage environment. The experimental results revealed a median error of 40~50 centimeters and a 90% error of 70~90 centimeters. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T15:50:27Z (GMT). No. of bitstreams: 1 ntu-97-R95922004-1.pdf: 875549 bytes, checksum: 8542e6c35cb279f4690f186f9e6b8ce8 (MD5) Previous issue date: 2008 | en |
| dc.description.tableofcontents | Acknowledgement i
Abstract iii 摘要 v List of Figures ix Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Contribution 2 Chapter 2 Related Work 5 2.1 Range-based methods 6 2.2 Range-free methods 7 Chapter 3 SpinLoc Approach 9 3.1 Doppler Effect 10 3.2 Doppler Angulation 11 3.3 Localization Algorithm 14 Chapter 4 System Overview 17 4.1 Doppler Signal Generation 20 4.2 Frequency Record 21 4.3 Orientation Angle Calculation 21 4.4 Location Estimation 25 Chapter 5 Parameter Tuning 29 Chapter 6 Implementation 35 Chapter 7 Experiment Results 37 7.1 SpinLoc Positional Errors 39 7.2 Doppler Angulation Filtering 41 7.3 Data Collection Times 43 7.4 Rotational Velocities 44 7.5 Interference Frequency 45 Chapter 8 Sources of Error 47 Chapter 9 Conclusions and Future Work 51 Bibliography 53 Appendix 59 | |
| dc.language.iso | en | |
| dc.subject | 都普勒效應 | zh_TW |
| dc.subject | 無線感測網路 | zh_TW |
| dc.subject | 室內定位 | zh_TW |
| dc.subject | indoor localization | en |
| dc.subject | wireless sensor network | en |
| dc.subject | Doppler Effect | en |
| dc.title | 利用旋轉發信器之精準室內定位 | zh_TW |
| dc.title | High-Precision Indoor Localization Using Spinning Beacons | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃寶儀,陳伶志,金仲達,曾煜棋 | |
| dc.subject.keyword | 無線感測網路,室內定位,都普勒效應, | zh_TW |
| dc.subject.keyword | wireless sensor network,indoor localization, Doppler Effect, | en |
| dc.relation.page | 63 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2008-06-26 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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