應用無線網路之行動裝置之室內定位研究與實作

Studies and Implementation of Indoor Positioning of Mobile Devices with Wireless Networks

許益祥(YI-HSIANG HSU)

指導教授 ： 黃永發

朝陽科技大學/資訊學院/資訊與通訊系/碩士(2019年)

摘要

本論文利用行動裝置量測附近3個無線存取點(Access point, AP)的接收訊號強度指標(Received signal strength indication, RSSI)之無線通道模型估計。將RSSI透過不同的路徑損耗指數(Path loss exponent, PLE)計算出不同的估計距離，再跟測試點(Test point, TP)與AP之間的實際距離運用均方根誤差(Root mean square error, RMSE)，找出最小誤差值對應的PLE作為適應性PLE(Adaptive PLE, APLE)。從量測結果中發現到許多的突波訊號會影響定位之效能，因此為了降低突波訊號影響，我們提出4種突波降低(Surge reduction, SR)的方法分別應用在RSSI中。實驗結果顯示，在測試樣本中使用APLE的情況並經過SR的方法下，其平均定位誤差最低可達2.24 m。此外在室內定位實作中，根據實際路徑(Real path, RP)進行動態定位，當中以直線的定位軌跡較為接近。

關鍵字

室內定位 ； 接收訊號強度指標 ； 路徑損耗指數 ； 均方根誤差

並列摘要

This paper uses the mobile device to measure the wireless channel model estimation of the Received signal strength indication (RSSI) of three wireless Access points (APs) in the nearby Wi-Fi network. The RSSI uses different Adaptive path loss exponent (APLE) to calculate the actual distance between the estimated distance and the TP to the AP through the Root mean square error (RMSE). From the measurement results, many surge signals are found to affect the performance of positioning. Therefore, to reduce the influence of surge signals, we propose four methods of the Surge reduction (SR), which are respectively applied in RSSI. The experimental results show that the average positioning error of the test sample data using APLE and the SR method is as low as 2.24 m. Furthermore, in the indoor positioning implementation, the dynamic positioning is performed according to the Real path (RP), and the positioning trajectories in a straight line is the closest.

並列關鍵字

Indoor localization ； Received signal strength indication ； Path loss exponent ； Root mean square error

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