A Comparison of WiFi-based Indoor Positioning Methods

被引：18

作者：

Tang, Lin ^{[1
]}

Zhang, Zhixiang ^{[1
]}

Zhao, Yonghao ^{[1
]}

Feng, Tianyi ^{[1
]}

Wong, Wai-Choong ^{[1
]}

Garg, Hari Krishna ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 119077, Singapore

来源：

2019 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS) | 2019年

基金：

新加坡国家研究基金会;

关键词：

LOCALIZATION; LOCATION; SYSTEMS; NETWORK;

D O I：

10.1109/icspcs47537.2019.9008751

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the popularity of smart phones and wireless network, location-based services (LBSs) attract extensive attention. The demands on indoor positioning systems (IPS) for the WiFi deployed environments are especially high. In this paper, we categorize the WiFi-based IPSs into two types, namely Received signal strength (RSS)-based and Channel state information (CSI)-based, and compare the practical performances of several WiFi-based IPSs. For the RSS-based methods, we select fingerprinting, trilateration method, sequencebased localization (SBL), and multidimensional scaling (MDS)-based methods for comparison. For the CSI-based method, we choose the time-reversal (TR) algorithm and propose a new experimental scheme to measure its performance. The pros and cons of each algorithm are also discussed.

引用

页数：6

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