Research on Indoor 3D Positioning Model Using Improved Triangular Centroid Position Algorithm Based on UWB

被引:0
|
作者
Fang, Yuan [1 ]
Ma, Weihao [2 ]
Chen, Mingzhang [3 ]
Chai, Cong [3 ]
Zhang, Xuancheng [3 ]
机构
[1] South Cent Univ Nationalities, Coll Chem & Mat Sci, Key Lab Catalysis & Energy Mat Chem, Minist Educ, Wuhan 430074, Peoples R China
[2] Zhejiang Univ, Inst Marine Sensing & Networking, Zhoushan 316021, Peoples R China
[3] Wuhan Univ Technol, Sch Automot Engn, Wuhan 430070, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 22期
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
3 sigma criterion; Improved triangular centroid position algorithm; BP algorithm; fluctuation level; LEARNING APPROACH; MITIGATION;
D O I
10.3390/app122211572
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The indoor positioning technology of an ultra-wideband (UWB) can play an excellent supplementary role in satellite navigation and has broad application prospects. However, if strong interference exists, the measurement data based on UWB will fluctuate abnormally, which seriously affects the accuracy of positioning. In view of the above problems, based on the combination of mathematical modeling, this paper starts from the subject data, and proposes a positioning method suitable for non-interference/interference conditions and an abnormal data identification method to improve the positioning accuracy. The specific scheme includes data preprocessing model establishment and solution, positioning model establishment and solution, migration application of positioning model, interfering data identification model establishment and solution, and movement track positioning model establishment and solution.
引用
收藏
页数:22
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