Performance Comparison of Similarity Measurements for Database Correlation Localization Method

被引：0
|
作者：
Machaj, Juraj [1 ]
Brida, Peter [1 ]
机构：
[1] Univ Zilina, Fac Elect Engn, Dept Telecommun & Multimedia, Univ 8215-1, Zilina 01026, Slovakia
来源：
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2011, PT II | 2011年 / 6592卷
关键词：
Database correlation method; similarity measurements; fingerprinting localization; indoor positioning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
User positioning is a very important feature in user adaptive system. The user position can be estimated by various positioning methods. This paper investigates an impact of similarity measurements on localization error in deterministic database correlation method. It is also called fingerprinting. Main idea is to compare widely used Euclidean distance with other similarity measurements. Seven different similarity measurements are implemented to simulation model created in Matlab software tool. Computation complexity of each similarity measurement is investigated and impact of similarity measurements on localization error in normal and extreme conditions is shown.
引用
收藏
页码：452 / 461
页数：10
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