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研究生:鄭竹昇
研究生(外文):Chu-Seng, Cheng
論文名稱:以社區分群概念來最佳化訊號之室內定位系統
論文名稱(外文):COMPASS: Community Optimized Measuring of Positions Associated with Sensing Singnals
指導教授:朱唯勤朱唯勤引用關係
指導教授(外文):Wei-Chyn Chu
學位類別:碩士
校院名稱:國立陽明大學
系所名稱:醫學工程研究所
學門:工程學門
學類:生醫工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:56
中文關鍵詞:室內定位系統無線射頻識別接收訊號強度
外文關鍵詞:Indoor Location SensingRFIDRSSI
相關次數:
  • 被引用被引用:3
  • 點閱點閱:244
  • 評分評分:
  • 下載下載:66
  • 收藏至我的研究室書目清單書目收藏:0
我們提出COMPASS,一個可以改善主動式RFID 室內定位系統
精準度的方法。藉由使用類似LANDMARC 的參考標籤系統,我們
可以在大部份的情況下得到較好的定位精準度。這個方法最可貴的地
方在於它很簡單,計算時間較短,因此適用於快速即時的定位應用。
根據實驗的結果發現,在改善平均誤差的同時,系統的最大誤差
反而增加了。因此我們也針對這個問題提出預測以及改善最大誤差的
方法;藉由成功的預測最大誤差的發生以及有效的例外處理,衍生出
兩種混種的COMPASS 系統。一種是使用動態的群落大小,另一種是
引入LANDMARC。兩種方法都可以在有效的改善平均誤差的同時,
兼顧較小的系統最大誤差。
最後我們提出值得研究以及可以改善的方向。
In this paper we present COMPASS (Community-Optimized Measuring of
Positions Associated with Sensing Signals), a method to improve indoor location
sensing accuracy using Radio Frequency Identification (RFID), based on the design
using reference tags. The major advantage of COMPASS is that it provides more
accuracy location, compared with LANDMARC, and keeps the beauty of true
simplicity, giving it the ability to track down moving object in real-time environment.
Yet, based on our result, we do see that while improving the average accuracy,
some measurements turn out having a larger error, making a bigger maximum error of
the algorithm. We find out ways to improve and predict large error observations,
forming two types of hybrid systems, one with a dynamic community size and the
other with LANDMARC. Both systems succeed a better average positioning accuracy
and less maximum error compared with the original COMPASS system.
Finally, we point out suggestions for further research and future work.
摘要............................................................................................................................... ii
Abstract ........................................................................................................................ iii
致謝............................................................................................................................... iv
Table of Content ............................................................................................................. v
Table Content ................................................................................................................ vi
Figure Content ............................................................................................................. vii
1 Chapter 1 ................................................................................................................ 9
1.1 Introduction ................................................................................................ 9
1.2 Indoor location sensing techniques .......................................................... 10
1.3 RFID (Radio Frequency Identification) ................................................... 14
1.3.1 RFID tag: ..................................................................................... 16
1.3.2 RFID Reader: ............................................................................... 17
1.3.3 Regulation and Standardization ................................................... 18
1.4 Motivation ................................................................................................ 21
2 Chapter 2 .............................................................................................................. 22
2.1 Equipment and tools ................................................................................ 22
2.1.1 WDS (Wireless Distribution System): ......................................... 23
2.1.2 Connecting RFID Readers and AirPorts: ..................................... 27
2.2 Community Optimized Measuring of Positions Associated with Sensing
Signals (COMPASS) ............................................................................................ 27
3 Chapter 3 .............................................................................................................. 33
3.1 Experimental results................................................................................. 33
3.2 Occur of large error location observations ............................................... 36
3.3 Solutions of fixing large errors ................................................................ 39
3.4 Prediction of large error location observations ........................................ 41
3.5 Hybrid COMPASS ................................................................................... 44
3.6 Evaluating CAMPASS with a new data set ............................................. 48
4 Chapter 4 .............................................................................................................. 50
4.1 Discussions .............................................................................................. 50
4.2 Conclusion and future work ..................................................................... 52
Reference ..................................................................................................................... 55
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