使用Wi-Fi Beacon對室內定位準確度影響研究

在這個網路資訊發達的時代，Wi-Fi已經是個不可或缺的東西，Wi-Fi的需求以及在生活周遭的應用更是普遍，也因為智慧型行動通訊裝置普遍都有嵌入Wi-Fi模組，所以讓Wi-Fi AP的易取得性提升，加上其價格便宜，被廣泛應用於辦公室、商場、校園、工廠等場所；Wi-Fi Access Point (AP)的覆蓋環境也一年比一年的遞增，使用Wi-Fi訊號來作為室內定位系統的研究也漸漸受到重視。在架設Wi-Fi無線網路時，其主要考量的問題是訊號的覆蓋率以及電源與訊號線路的配置，使得Wi-Fi AP分布的狀況在不同環境中都有所差異。本論文的重點為透過安信可科技公司做的開發板，搭配樂鑫公司的ESP8266 ESP12-F的WiFi模組在本實驗場地中原大學電學五樓教室與走廊放置，並發出Wi-Fi beacon的訊號，再使用ANDROID智慧型手持式裝置HTC One M8與ASUS ZenFone 5Z配合過去研究室所撰寫的程式IndoorPostionSampler來進行Wi-Fi訊號採集，使用移動採樣法MS (Moving sampling method)之方法採集訊號，透過Matlab進行後續的訊號處理，並利用Minimum Signal Distance with Relational factor (MSDR)演算法來估計使用者在場景中的位置，比較加入這塊晶片前後的定位準確度來進行討論與分析。

關鍵字

嵌入式系統；室內定位系統

並列摘要

In this era of advanced network information, Wi-Fi is already an indispensable thing. The demand for Wi-Fi and the applications around life are even more common. It is also because smart mobile communication devices generally have embedded Wi-Fi modules. Also, the availability of Wi-Fi AP has been improved, its price is getting lower and it is widely used in offices, shopping malls, campuses, factories and other places. the coverage environment of Wi-Fi Access Point (AP) is also increasing year by year. Meanwhile, the research of using Wi-Fi signal as an indoor positioning system has gradually received attention. When setting up a Wi-Fi wireless network, the main considerations are signal coverage and the configuration of power and signal lines, which makes the distribution of Wi-Fi APs different in different environments. The focus of this thease is on the development board made by Ai-Thinker Technology Co., Ltd. , With ESP8266 ESP12-F WiFi module from Espressif, placed in the classroom and corridor on the fifth floor of Electrical Engineering and Computer Science Chung Yuan Christian University, ESP8266 ESP12-F Wi-Fi module transmit the Wi-Fi beacon signal, and then we can proceed to collect the WiFi signal by use ANDROID smart handheld device HTC One M8 and ASUS ZenFone 5Z with IndoorPostionSampler,a program written by past research lab seniors.To collect signals through Moving sampling method.Utilize Matlab to process the received signal,and use the Minimum Signal Distance with Relational factor (MSDR) algorithm to estimate the user's position in the circumstances.Comparing the positioning accuracy before and after adding this chip.Finally,analyze and discuss the results.