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研究生: 曾泓傑
Hung-Jie Tseng
論文名稱: 基於周圍Wi-Fi訊號紋路特徵之權值式定位演算法
RSS Fingerprint and Footprint Assisted Weighted Voting Positioning Algorithm Based on Ambient Wi-Fi Signals
指導教授: 呂政修 
Jenq-Shiou Leu
口試委員: 陳省隆
Hsing-Lung CHEN
鄭瑞光
Ray-Guang Cheng
林敬舜
ChingShun Lin
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 50
中文關鍵詞: 室內定位適地性服務接收訊號強度智慧型手機
外文關鍵詞: Indoor Positioning, Location Based Service, Received Signal Strength, Smartphone
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  • 定位是適地性服務(Location-Based Service, LBS)裡最重要的步驟。由於最常用來定位的全球定位系統(Global Positioning System, GPS)所發出的訊號被牆壁所阻礙,使得在室內的使用者沒辦法透過GPS得知他們所在的位置。大多數的室內定位(Indoor Positioning)系統都依據從室內無線發射裝置所接收到的接收訊號強度(Received Signal Strength, RSS)來當作定位的參考。藉由整合室內定位的資訊到現今智慧型手機的應用程式裡,可以更容易得到室內位置的資訊。在這篇論文中,我們提出一個新的室內定位設計方式藉由接收訊號強度指紋(RSS Fingerprint)和訊號足跡(Footprint)的輔助,並接收從周圍環境中的Wi-Fi存取點(Wi-Fi APs)所發出來的無線訊號強度,藉由這種方式智慧型手機(Smartphone)的使用者可以得到他們的室內位置。有了周圍所收集到的Wi-Fi 接收訊號強度的幫助,以及限制並區分不同方位與方向所接收到的訊號強度,並且緩和訊號的跳動,我們所提出來的設計可以克服在室內訊號極度不穩定的問題和提升定位的準確度。同時,所提出來的接收訊號強度指紋和訊號足跡比對方法可以加快定位的速度。在實驗結果裡證明我們所提出來的設計在室內環境裡可以達到一定程度的定位準確度,並且勝過其它的方法。


    Positioning is the foremost procedure in the location based service (LBS). With the GPS signal strength obstructed by the wall, indoor users cannot obtain their positions through the global positioning satellites. Most of the indoor positioning systems have relied on received signal strengths (RSSs) from indoor wireless emitting devices. Integrating indoor position information into the APP in the modern smartphone can facilitate the precision of in-building location information. In this paper, we propose a novel indoor positioning scheme assisted by the RSS fingerprint and footprint. Smartphone users can get their indoor position based on RSSs from the surrounding Wi-Fi access points (APs). With the assistance of collecting ambient Wi-Fi RSSs, confining RSSs by directions/orientations, and mitigating signal fluctuation, our proposed scheme can overcome the severe signal instability problem in the building and raise the positioning accuracy. Meanwhile, the proposed RSS fingerprint and footprint matching mechanism can speed up the positioning procedure. The experiment results show that our proposed scheme can achieve a certain level of accuracy in the indoor environments and outperform other solutions.

    論文摘要 I ABSTRACT II 誌謝 III 目錄 IV 第1章 1 1.1 研究背景與動機 1 1.2 研究目的 7 1.3 章節提要 7 第2章 相關技術 8 2.1 收訊時間法(Time of Arrival, TOA) 8 2.2 收訊時間差法(Time Difference of Arrival, TDOA) 10 2.3 全球定位系統(Global Position System) 11 2.4 輔助式全球定位系統(Assistant Global Positioning System,AGPS) 13 2.5 三角測量技術(Triangulation Technique) 14 2.6 Wi-Fi 15 2.7 多路徑效應(Multipath effect) 16 2.8 RADAR(Radio and Detection Raining) 17 第3章 室內定位系統的設計 21 3.1 系統架構 21 3.1.1 現今無線訊號 23 3.1.2 系統處理流程圖表 24 3.2 建置接收訊號強度指紋的資料庫 26 3.2.1 接收訊號強度指紋的特性 30 3.3 建置訊號足跡的資料庫 33 3.4 利用接收訊號強度指紋找出可能區域 35 3.5 利用訊號足跡找出可能地點 36 3.6 權值決策定位演算法計算位置 37 第4章 評估結果 39 4.1 環境設置 39 4.2 評估結果 41 第5章 結論 46 參考文獻 47 作者簡介 50

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