研究生: |
謝昀珈 Yun-Chia Hsieh |
---|---|
論文名稱: |
再廣播載波相位之室內定位 Indoor Positioning Using Re-radiated Carrier Phase |
指導教授: |
高維文
Wei-wen Kao |
口試委員: |
黃緒哲
Shiuh-jer Huang 張淑淨 Shwu-jing Chang |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2005 |
畢業學年度: | 93 |
語文別: | 中文 |
論文頁數: | 68 |
中文關鍵詞: | 再廣播天線 、室內定位 、載波相位 |
外文關鍵詞: | re-radiated antenna, indoor positioning, carrier phase |
相關次數: | 點閱:283 下載:3 |
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全球定位系統(GPS)雖然已成熟應用於日常生活,但由於受限於衛星信號太弱、傳輸多路徑效應以及建築物阻礙等因素,在室內應用方面往往顯得困難重重。而本論文希望利用再廣播天線將GPS載波相位訊號引入室內,初步實現室內定位的可行性。
本論文使用簡易的隔絕裝置,將天空衛星分成兩邊,經由再廣播天線廣播其中ㄧ半天空衛星,搭配接收機直接接收另ㄧ半衛星,接著利用快速二次差分找到週波未定值,在載波相位二次差分的基礎下,消除接收機時表誤差,實現室內定位系統。因為實驗所在位置往往並非與本地水平座標(East-North-Up,ENU)相對應,勢必會有一旋轉角度,必須加以修正。加上利用再廣播天線將造成接收機與再廣播天線之間的距離並不如接收機與衛星遙遠,不可視為無限大,因此,我們使用迭代法將此部分誤差加以修正。最後將所得結果利用均方根找出相關誤差,驗證再經由迭代法修正確實可以得到較佳的定位精度,初步完成室內定位之研究。
Global Positioning System (GPS) has been wildly used in our daily life. However, the applications of indoor environments become very difficult due to the weak GPS signal strength, and multi path effect resulting from the obstruction of the buildings, etc. By using the re-radiated antenna, the GPS signals were introduced into indoor environments to realize the practicability of the indoor positioning in this thesis.
By using simple isolated advice, this research separates the satellites signals into two partitions. One of the two partitions was broadcasted through a re-radiated antenna, and the other partition was received by GPS receiver directly from the sky. Using the carrier phase double difference measurements, one can resolve the integer ambiguity and eliminate the receiver’s clock error and thus realize the indoor positioning system. Since the local coordinate of the experiment environment does not correspond to the ENU (East-North-Up) coordinate, the angle between the coordinate system is also resolved using outdoor carrier phase positioning technique. In indoor environments, the distance from the receiver to the re-radiated antenna is not as far as that from the receiver to satellite so that we can not consider it as infinite. The resulting nonlinearity in the equations was compensated by using Iteration Method. The RMS error of the algorithm using the Iteration Method was calculated to confirm that the method has better positioning precision.
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