Indoor Object Locator and Guiding System Using Bluetooth Low Energy iBeacon

碩士 === 國立臺北科技大學 === 電機工程研究所 === 105 === Global Positioning System (GPS) can provide high precision real time positioning, speed measuring, and standard time, which have been commonly used in various areas for positioning and route guiding. However, the GPS signal can easily be obstructed and attenua...

Full description

Bibliographic Details
Main Authors: Ying-Tong Chen, 陳映彤
Other Authors: Tan-Hsu Tan
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/t6u7by
Description
Summary:碩士 === 國立臺北科技大學 === 電機工程研究所 === 105 === Global Positioning System (GPS) can provide high precision real time positioning, speed measuring, and standard time, which have been commonly used in various areas for positioning and route guiding. However, the GPS signal can easily be obstructed and attenuated in an indoor environment, which degrades the positioning accuracy. Thus the GPS is not suitable for application in the indoor positioning. The elderly people in Taiwan area rapidly increases in recent years, therefore, how to improve the capability of independent life of elderly people has received much attention. A common problem of elderly people is easy to forget the position where an object is placed, which motives this study to develop an indoor object locator and guiding system using Bluetooth low energy (BLE) iBeacon. This system aims to help the elderly to locate the position of indoor object he/she has already forgot, and then guide the elderly person to take the object. Firstly, the proposed system evaluates the distance between BLE transmitter (at the position of object) and BLE receiver (at the position of elderly people) with a signal propagation model according to the received signal strength indication (RSSI), and then locates the position of elderly person. Bluetooth signal may degrade due to wireless fading, which leads to an unstable RSSI, thus decreasing the positioning accuracy. Therefore, a hybrid positioning system integrating the trilateration with Kalman filter is presented in this work to overcome the problem mentioned above. Experimental results demonstrate that the proposed system has the potential for application in the indoor object locating and route guiding.