Ranging Optimization and Research on Indoor 3D Positioning Algorithm Based on UWB

被引：0
|
作者：
Hu, Siquan [1 ]
Bao, Tianyu [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
来源：
3RD ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND ARTIFICIAL INTELLIGENCE (ISAI2018) | 2018年 / 1069卷
关键词：
D O I：
10.1088/1742-6596/1069/1/012080
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Nowadays, the indoor space of people is more and more vast and complex, so the service of positioning and guidance in parking lots, shopping malls, and airport is increasingly needed. Thus, especially indoor 3D positioning, IPS(Indoor Positioning System) has the chance to develop rapidly. This paper proposed UWB as the indoor 3D positioning technology and developed a method to improve TWR(tow-way-ranging) algorithm to enhance the precision of indoor 3D positioning. Furthermore, a 3D positioning algorithm based on TOF ranging with the LSE (Least Squares Estimation) method is introduced. Lastly, the simulation results in Matlab are showed to prove that this algorithm can achieve a relatively accurate 3D positioning precision, which is meaningful and practical for many applications.
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页数：6
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