Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

被引：155

作者：

Xia, Shixiong ^{[1
]}

Liu, Yi ^{[1
]}

Yuan, Guan ^{[1
,2
]}

Zhu, Mingjun ^{[1
]}

Wang, Zhaohui ^{[1
]}

机构：

[1] China Univ Min & Technol, Sch Comp Sci & Technol, 1 Daxue Rd, Xuzhou 221116, Peoples R China

[2] China Univ Min & Technol, Jiangsu Key Lab Mine Mech & Elect Equipment, 1 Daxue Rd, Xuzhou 221116, Peoples R China

来源：

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION | 2017年 / 6卷 / 05期

关键词：

indoor positioning technology; Wi-Fi; fingerprint; NEURAL-NETWORK; ALGORITHM;

D O I：

10.3390/ijgi6050135

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The widely applied location-based services require a high standard for positioning technology. Currently, outdoor positioning has been a great success; however, indoor positioning technologies are in the early stages of development. Therefore, this paper provides an overview of indoor fingerprint positioning based on Wi-Fi. First, some indoor positioning technologies, especially the Wi-Fi fingerprint indoor positioning technology, are introduced and discussed. Second, some evaluation metrics and influence factors of indoor fingerprint positioning technologies based on Wi-Fi are introduced. Third, methods and algorithms of fingerprint indoor positioning technologies are analyzed, classified, and discussed. Fourth, some widely used assistive positioning technologies are described. Finally, conclusions are drawn and future possible research interests are discussed. It is hoped that this research will serve as a stepping stone for those interested in advancing indoor positioning.

引用

页数：25

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