| dc.contributor.advisor | 蔡子傑 | zh_TW |
| dc.contributor.advisor | Tsai,Tzu-Chief | en_US |
| dc.contributor.author (Authors) | 簡盧德 | zh_TW |
| dc.contributor.author (Authors) | Chien Lu,Te | en_US |
| dc.creator (作者) | 簡盧德 | zh_TW |
| dc.creator (作者) | Chien Lu,Te | en_US |
| dc.date (日期) | 2007 | en_US |
| dc.date.accessioned | 17-Sep-2009 14:01:46 (UTC+8) | - |
| dc.date.available | 17-Sep-2009 14:01:46 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Sep-2009 14:01:46 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0094753002 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/32673 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊科學學系 | zh_TW |
| dc.description (描述) | 94753002 | zh_TW |
| dc.description (描述) | 96 | zh_TW |
| dc.description.abstract (摘要) | 隨著無線網路的興起，許多相關的研究議題也應運而生，利用無線網路(WLAN)對於使用者位置的判斷與追蹤就是其中相當熱門的一塊。經過近幾年的發展，室內WLAN定位誤差的進步空間已達到極限，其原因主要出在無線訊號傳播的物理性質所產生的侷限。然而，大部分擁有良好精準度的定位系統是建立在不切實際的人力成本上，故我們將著眼點放在如何減少收集大量訊號所耗費的人力，同時保持不錯的精準度。取得AP位置所消耗的人力資源也是我們考慮的一環。 因此，我們提出一套新的定位系統：首先建立少數的資料點，再透過推測基地台位置和插入機制來完成訊號資料庫的初步建置。然後在定位的同時收集使用者接收到連續的訊號強度，透過隱馬可夫鏈建立的模型，再配合其他演算法來更新訊號資料庫。實驗結果顯示，相較於其他兩個定位系統，我們的系統能夠減少最多的人力建置資源，並且達到有競爭力的定位精準度。除此之外，我們也分析了系統在使用舊的資料庫或是不同的實驗環境下，能夠展現怎樣的定位結果。 | zh_TW |
| dc.description.abstract (摘要) | Following the raise of Wireless LAN networks, there are a lot of relative research issues in today’s life. Tracking and locating mobile users in RF-based WLAN (IEEE 802.11) is a very important issue in location-based applications area. The error distances of indoor WLAN locating was decreased to approximately 1.5 meter in recent years. However, the improvement in accuracy was limited due to the nature of radio propagation. Many researches which contain precise accuracy were based on an impractical effort of collecting too much signal data which we usually called “calibration” in this area. So this thesis focuses on how to reduce the calibration efforts without losing too much accuracy. Confirming the allocation of access points is another kind of calibration effort we concerned. As a consequence, we proposed a new locating system: first we calibrated few points and utilized inferring AP’s position and interpolation to complete radio map. During location estimation phase, radio map could be updated dynamically using learning mechanism modeled by HMM and other algorithms. In the experimental results, we proved our system maintained a comparable accuracy under reducing much calibration effort than other two locating systems. Besides, we analyzed the performance of our system with elder radio map and in two different experimental environments. | en_US |
| dc.description.tableofcontents | CHAPTER 1 Introduction 11.1. Background 11.1.1. RF-based Indoors Location Technology 11.1.2. Wireless Channel Propagation 31.1.3. Wireless Prediction and Tracking Technology 51.1.4. Learning Technology 61.2. Motivation 91.3. Organization 9CHAPTER 2 Related Work 112.1. RADAR [1,2] 122.1.1. Empirical Method 132.1.2. Radio Propagation Method 142.2. Reducing Calibration Effort for WLAN Location System Using Segment Technique with Autocorrelation [24] 15CHAPTER 3 Locating System Analysis 173.1. Calibration 183.2. Guess AP’s Position 203.3. Interpolation 233.4. Location Estimation Models 243.4.1. Locating Model 253.4.2. Tracking Model 27CHAPTER 4 Radio Map Refreshing 284.1. Learning Mechanism 284.1.1. HMM 294.1.2. The Baum-Welch Algorithm 314.1.3. The Viterbi Algorithm 344.2. Radio Map Updating 354.2.1. Erase Interpolation Points 364.2.2. Write New Learning Points 374.2.3. Re-guess APs’ Positions 394.2.4. Re-interpolate Radio Map 40CHAPTER 5 Experimental Evaluation 425.1. Experimental Setup 425.2. Experimental Results 445.2.1. Results of Reducing Calibration Effort 445.2.2. Results of Locating with Elder Calibration Points 475.2.3. Result of Locating in Different Environments 49CHAPTER 6 Conclusions and Future Works 546.1. Conclusions 546.2. Future Works 55References 56 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0094753002 | en_US |
| dc.subject (關鍵詞) | 定位 | zh_TW |
| dc.subject (關鍵詞) | 無線網路 | zh_TW |
| dc.subject (關鍵詞) | 訊號強度 | zh_TW |
| dc.subject (關鍵詞) | 機器學習 | zh_TW |
| dc.subject (關鍵詞) | 資料庫 | zh_TW |
| dc.subject (關鍵詞) | locating | en_US |
| dc.subject (關鍵詞) | WLAN | en_US |
| dc.subject (關鍵詞) | signal strength | en_US |
| dc.subject (關鍵詞) | learning | en_US |
| dc.subject (關鍵詞) | radio map | en_US |
| dc.title (題名) | 利用動態訊號資料庫以減少測量數之無線網路定位系統 | zh_TW |
| dc.title (題名) | Reducing Calibration Effort for WLAN Locating System with Dynamic Radio Map | en_US |
| dc.type (資料類型) | thesis | en |
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