Performance Comparative Study Between Vector And ECOLOCATION Algorithms For Indoor Positioning

被引：0

作者：

Obeidat, H. ^{[1
]}

Obeidat, O. ^{[2
]}

Bomhara, M. ^{[1
]}

Shuaieb, W. ^{[1
]}

Alabdullah, A. ^{[1
]}

Dama, Y. ^{[3
]}

Binmelha, M. ^{[1
]}

Jones, S. ^{[1
]}

Abd-Alhameed, R. ^{[1
]}

机构：

[1] Univ Bradford, Sch Elect Engn & Comp Sci, Bradford, W Yorkshire, England

[2] Wayne State Univ, Coll Engn, Detroit, MI USA

[3] An Najah Natl Univ, Dept Telecommun Engn, Nablus, Palestine

来源：

PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE INTERNET TECHNOLOGIES AND APPLICATIONS (ITA) | 2017年

关键词：

Ecolocation; Indoor localization; Ray tracing; RF-fingerprinting; RSS; Vector Algorithm;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

a comparative study of performance is conducted between two indoor positioning algorithms described in the Literature, the Vector and Ecolocation algorithms. Both use received signal strength (RSS) to implement a radio frequency fingerprinting technique. The experiment is conducted using commercial ray tracing software called Wireless Insite and Matlab. The Vector algorithm performs better than the Ecolocation algorithm, which suffers heavily from an ambiguity issue. For the Vector algorithm, the median position error was 2.79 m and 90% of errors were less than 5.72 m

引用

页码：230 / 234

页数：5

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