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
收藏
页数：6
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