室內定位範圍與精準度改善與分析 = Indoor Location Ac...
國立高雄大學電機工程學系碩士班

 

  • 室內定位範圍與精準度改善與分析 = Indoor Location Accuracy&Range Improved And Analyzed:Using Multi-Polarization Array Antenna With Cell Concept : 以多種極化陣列天線結合訊號梯度定位方式實現
  • Record Type: Language materials, printed : monographic
    Paralel Title: Indoor Location Accuracy&Range Improved And Analyzed:Using Multi-Polarization Array Antenna With Cell Concept
    Title Information: 以多種極化陣列天線結合訊號梯度定位方式實現
    Author: 林宥成,
    Secondary Intellectual Responsibility: 國立高雄大學
    Place of Publication: [高雄市]
    Published: 撰者;
    Year of Publication: 2012[民101]
    Description: 97面圖,表格 : 30公分;
    Subject: 室內定位
    Subject: Indoor Location
    Online resource: http://handle.ncl.edu.tw/11296/ndltd/09705807605562921733
    Notes: 參考書目:面83-84
    [NT 15001349]: 以多種極化陣列天線結合訊號梯度定位方式實現
    Summary: 室內無線定位技術多依賴RSSI(Received Signal Strength Indication)強弱來進行距離的判斷,然而由於在室內環境無線訊號的接收會受到多重路徑干擾的影響,訊號會有快速衰變的現象,影響距離判定。本論文分別針對線性極化、圓型極化天線特性與陣列效果對訊號的分辨度進行探討分析,以減低快速衰變所造成的誤差。這個研究只針對兩種有代表性的環境量測來討論,分別為工學院407實驗室(即一般辦公室)及工學院四樓走廊(即長廊),其它環境將待進一步確認。本論文發現使用陣列天線結合訊號梯度方式來增加室內定位有效範圍,經由實驗結果顯示有效定位範圍可達20m 以上,定位誤差約為1 公尺,相較於傳統室內定位改善不少,因此對於一個Cell 約40m 的Zigbee 網路,可以準確預測用戶的所在位置。 Most indoor location technology depended on RSSI (Received Signal Strength Indication) to measure the distance. However, in the indoor environment, a wireless receiver will suffer a fast fading induced from the multipath interference. Without a reliable RSSI–distance relationship, the accuracy of the distance prediction is usually poor. To solve this problem, this paper investigates the use of polarization and high directivity antenna array with the cell concept to provide a more reliable RSSI–distance relationship. In verification measurements, we select two typical environments, i.e., an office environment (the 407 Lab) and a corridor respectively. Using the proposed method to combine signal strength gradient identification with array antenna radiation pattern, it shows that the reliable RSSI–distance relationship could be predicted up to about 20m. So, for a cell size of about 40m for zigbee network, the user location can be accurately predicted.
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310002292012 博碩士論文區(二樓) 不外借資料 學位論文 TH 008M/0019 542201 4435 2012 一般使用(Normal) On shelf 0
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