Survey of wireless indoor positioning techniques and systems

被引:2683
|
作者
Liu, Hui [1 ]
Darabi, Houshang
Banerjee, Pat
Liu, Jing
机构
[1] Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60612 USA
[2] Univ Illinois, Dept Mech & Ind Engn, Chicago, IL 60607 USA
关键词
indoor location sensing; location fingerprinting; positioning algorithm; radio frequency (RF); wireless localization;
D O I
10.1109/TSMCC.2007.905750
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Wireless indoor positioning systems have become very popular in recent years. These systems have been successfully used in many applications such as asset tracking and inventory management. This paper provides an overview of the existing wireless indoor positioning solutions and attempts to classify different techniques and systems. Three typical location estimation schemes of triangulation, scene analysis, and proximity are analyzed. We also discuss location fingerprinting in detail since it is used in most current system or solutions. We then examine a set of properties by which location systems are evaluated, and apply this evaluation method to survey a number of existing systems. Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.
引用
收藏
页码:1067 / 1080
页数:14
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