支援無線射頻與紅外線混合定位機制室內行動導覽系統之設計與實作

隨著手機的盛行、通訊網路技術的進步與發達，智慧型行動裝置在功能上被賦予了許多的功能，許多定位的應用與行動應用也不斷地被提出，而在定位方面的應用更是快速地被普及化，形成現代人必備的功能之一，然而目前的定位大致上還是會採用 GPS (Global Positioning System) 進行定位，但在室內定位的部分常會因為環境或遮蔽物的因素造成效果不佳或誤差，目前也有許多改善此因素的解決辦法，如: Wi-Fi 定位或是利用手機 G-Sensor 與陀螺儀定位。在 WiFi 定位的部分常會因為訊號的強弱而造成漂浮不定與誤差，而 G-Sensor 與陀螺儀定位常因有累積誤差的問題且適合靜態環境，必須定期進行定位校正以提高定位準確率。本論文以紅外線室內定位為基準，設計了一個基於 Wi-Fi 與藍芽 (Bluetooth) 訊號區域之紅外線（Infrared）加強輔助的室內定位系統，以 Wi-Fi RSSI (Received Signal Strength Indicator) 作為主要區域定位依據， Bluetooth 訊號為輔助定位，IR 訊號為加強定位精確值，整合三種無線訊號強度值使用指紋訊號強度特徵辨識定位法與鄰近加權定位法增加定位精準度來實現廣域的定位，利用 IR 角度較小、較精確的原理進行加強定位的輔助。為了減少智慧型裝置空間的佔用與運算的負擔，建置定位運算伺服器，將資訊集中式做定位處理，本論文將會於場域蒐集紅外線的音頻訊號，利用紅外線接收器的音頻特徵分析，進行定位區域的角落位置判斷，並將紅外線數值與場域所蒐集到的 RSSI 訊號強度數值傳送到伺服器上完成網路服務 (Web Service) 的處理，將定位運算結果回傳到智慧型行動裝置，並設計一個導覽 APP 與使用者互動。本系統架構與定位技術，未來可提供定位範圍區域較大，且精準度容許值較廣的區域進行室內定位，如觀光產業、遊樂園…等等，並提供位置與商品介紹。

關鍵字

智慧行動裝置；指紋特徵定位；室內定位導覽；網路服務； Wi-Fi 定位；藍芽定位；紅外線定位

並列摘要

With the popularity of progress and development of mobile phones communication network technology progress and development, intelligent mobile devices in the function have been given a lot of features. Many positioning applications and mobile applications are constantly being raised, such as applications, multimedia, entertainment, etc. Applications in terms of positioning are rapidly popularization, forming the modern essential function, but the current position generally still use GPS (Global Positioning System) to locate, in the indoor positioning of environmental influences factors often cause ineffective or mistake, now there are many solutions to improve this factor, there are also many improvements this factor solutions such as: Wi-Fi positioning or the use of mobile phones G-Sensor and gyro positioning. The part of WiFi positioning signal strength caused adrift and error, and G-Sensor and Gyro positioning often due to cumulative error problem and for a static environment, must be regularly positioning correction to improve the positioning accuracy. In this master thesis design a based on Wi-Fi and Bluetooth signal area the infrared strengthen auxiliary indoor positioning system. With Wi-Fi RSSI (Received Signal Strength Indicator) as the primary regional location basis, Bluetooth auxiliary positioning signals, IR signals to strengthen the positioning accuracy value, integrating three wireless signal strength values use the Neighboring Weighted Positioning method implement increased position accuracy and wide-area positioning and use IR angle smaller, more accurate principle to strengthen auxiliary positioning. In order to reduce the burden on the space occupied by intelligent devices and operations, build positioning calculation server, the information centralized to make the positioning process, this paper will be sent to the field to collect RSSI signal strength on the server to complete the RSSI training Learning Network Road services (Web Service) processing, and then use the IR signal detection intensity point positioning ,positioning calculation result back to the smart mobile device, navigation and design a user to interact with APP. The system architecture and positioning technology, the future can offer indoor and outdoor tours, such as the tourism industry, amusement parks and so provide the location and product introduction.

並列關鍵字

Smart Mobile Devices ； Fingerprint Location ； Indoor Positioning Navigation ； Web Service ； Wi-Fi Position ； Bluetooth Position ； IR Position

參考文獻

廖子翔，2014，“智慧型行動裝置之 Wi-Fi 與 Bluetooth 混合定位技術室內導覽系統實現與優化”，國立虎尾科技大學電機工程系研究所碩士論文。

[27] 王妍之，2013，“以到達時間(TOA)及到達時間差(TDOA) 為基礎之聲源定位法”，國立清華大學動力機械工程學系研究所碩士論文。

C. Drane, M. Macnaughtan, and C. Scott, “Positioning GSM telephones,” IEEE Commun. Mag., pp. 46-59, April 1998.

D. Nicukescu and B. Nath, “Ad-hoc positioning system using AOA,” Proc. of IEEE Infocom, April 2003.

R.Kaune, “Accuracy Studies for TDOA and TOA Localization,” 2012 15th International Conference on Information Fusion, pp. 408-415, 2012.

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支援無線射頻與紅外線混合定位機制室內行動導覽系統之設計與實作

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