A Hybrid Model for Ubiquitous Positioning System

論文翻譯標題: 基於混合式模型之室內外無縫定位系統
  • 唐 怡君

學生論文: Master's Thesis

摘要

Internet of Things (IoT) refers to a scenario in which objects are uniquely identified and has the ability to connect the physical world over a network without requiring human-to-human and human-to-computer interaction Hence the most important part of IoT is how to make objects addressable and traceable As we know Global Positioning System (GPS) is a speed and precise positioning system However the situation is quite opposite when GPS positioning in indoors Due to the absence of Line of Sight (LOS) to satellites the performance of GPS is severely degraded As for indoors there are many mature positioning technologies such as WiFi RFID Bluetooth and so on Each positioning method has its advantages weakness and restrictions Thus combining more than one type of positioning algorithms at the same time could get better performance Through inspired by IoT there is a need for ubiquitous positioning system that can work both indoors and outdoors Due to unique properties of different positioning systems drawing on the strength of each to offset the weakness of the other is necessary Therefore we propose a ubiquitous positioning system combining GPS WiFi BT 4 0 and Dead Reckoning (DR) Also with the use of Complementary Extended Kalman Filter (CEKF) for the data fusion and correcting the trajectory; the proposed system implements a ubiquitous positioning system which can position objects anytime and anywhere The result shows the proposed hybrid positioning system performs better than other individual positioning methods
獎項日期2014 八月 28
原文English
監督員Ming-Shi Wang (Supervisor)

引用此

A Hybrid Model for Ubiquitous Positioning System
怡君, 唐. (Author). 2014 八月 28

學生論文: Master's Thesis