A fingerprint database reconstruction method based on ordinary Kriging algorithm for indoor localization

被引：11
作者：
Wang Pu [1 ]
Feng Zhihong [1 ]
Tang Yan [1 ]
Zhang Yuzhi [2 ]
机构：
[1] Lanzhou Jiaotong Univ, Lanzhou 730070, Gansu, Peoples R China
[2] Xian Univ Sci & Technol, Xian 710054, Shaanxi, Peoples R China
来源：
2019 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS) | 2019年
关键词：
Siphonic Kriging interpolation algorithm; fingerprint database; indoor positioning;
D O I：
10.1109/ICITBS.2019.00060
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Constructing a fingerprint database using the received signal strength is a widely used solution for indoor positioning to fit the positioning result online through matching the database with algorithm. Traditional fingerprint database construction methods are time-consuming and difficult to sample in special locations. In this paper, Kriging interpolation algorithm is proposed to interpolate or extrapolate fingerprint databases, in order to solve such problems, such as large workload, long time-consuming and difficult of sampling special features in the construction of fingerprint databases. The experiment is done using the Kriging algorithm and Inverse Distance Weighted algorithm to interpolate the database with 60% sampling points as known parameter. The experimental results show that the interpolation error of the Kriging algorithm is 4.49dBm, which is 5% lower than that by the Inverse Distance Weighted algorithm.
引用
收藏
页码：224 / 227
页数：4
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