一個基於異質無線網路訊號的室內定位方法

Abstract

室內定位技術逐漸蓬勃發展，受到業界、學界的關注。目前常見之室內定位方法包括RFID、ZigBee、藍芽等技術都需要額外基礎建設，建設費用所費不貲。因此，本論文提出一個利用現有的細胞網路(2G/3G/4G基地臺)與區域網路(Wi-Fi)訊號的室內定位技術，從而降低基礎建設費用。透過分析歷史資料中的位置資訊和網路訊號，綜合考量細胞網路和WiFi網路等異質網路訊號，並同時考量訊號強度、時間序列、網路傳輸距離等因子，來進行行動定位分析。本論文運用所提出的室內定位方法來實作智慧圖書館導覽服務系統作為結果呈現與驗證，首先使用者利用此方法找出所在的室內位置，再藉由資料庫比對得知所在位置與所查詢書本位置的距離，並進行導覽。由實驗數據顯示，本研究提出之整合異質網路訊號室內定位方法的定位誤差為0.589179公尺，優於其他室內定位方法20%。故，本方法將有可效改進室內定位的準確度。

Nowadays indoor positioning has become an important research issue . RFID、ZigBee and Bluetooth are commonly used for indoor positioning. However, they require extra infrastructure cost. Therefore, in this thesis, we propose an indoor positioning method which is based on the signals of both cellular networks (2G/3G/4G) and wireless local area networks (ZEEE802.11). This method mainly analyzes the heterogeneous network signals and considers the signal strength receiving, time and transmission distance. Since existing heterogeneous networks are used, the extra installation cost is no longer required. Moreover, to verify the proposed method, we develop an Intelligent Library Guidance Services (ILGS) system. First, a user uses thet figure out his location. Then, by checking the book’s location database, he can measure the distance between his current location and the book requested. Simulation results indicate that the proposed method can locate the requested book with an error range of 0.589179 meter, which is 20% better than most existing indoor positioning methods.