A Novel Indoor Positioning Framework
作者机构：Department of Electronic EngineeringNational Kaohsiung University of Science and Technology(First Campus)Kaohsiung City82445Taiwan
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2022年第130卷第3期
页 面：1459-1477页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
主 题：Indoor positioning Bluetooth protocol artificial intelligence
摘 要：Current positioning systems are primarily based on the Global Positioning System(GPS).Although the GPS is accurate within 10 m,it is mainly used for outdoor positioning services(Location-Based Service;LBS).However,since satellite signals cannot penetrate buildings,indoor positioning has always been a blind spot for satellite *** indoor positioning applications are extensive with high commercial values,they have created a competitive niche in *** indoor positioning technologies are unable to achieve less than 10 cmaccuracy except for the UltraWide Band(UWB)*** the other hand,the Bluetooth protocol achieves an accuracy of 1 to *** this work,we use Bluetooth wireless signals to build a novel indoor positioning framework to avoid the high manufacturing costs involved in the UWB *** Bluetooth signals are combined with the results from artificial intelligence algorithms to improve *** laboratory indoor location tracking,the accuracy rate is 96%,which provides effective indoor tracking for the movement of people.
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