Paper Info
Title
The Impact of Using Multiple Antennas on Wireless Localization
Abstract
We show that signal strength variability can be reduced by employing multiple low-cost antennas at fixed locations. We further explore the impact of this reduction on wireless localization by analyzing a representative set of algorithms ranging from fingerprint matching, to statistical maximum likelihood estimation, and to multilateration. We provide experimental evaluation using an indoor wireless testbed of the localization performance under multiple antennas. We found that in nearly all cases the performance of localization algorithms improved when using multiple antennas. Specifically, the median and the 90th percentile error can be reduced up to 70%. Additionally, we found that multiple antennas improve the localization stability significantly, up to 100% improvement, when there are small scale 3-dimensional movements of a mobile device around a given location.
Year
DOI
Venue
2008
10.1109/SAHCN.2008.17
SECON
Keywords
Field
DocType
mobile device,indoor wireless testbed,maximum likelihood estimation,signal strength variability,statistical maximum likelihood estimation,localization stability,fingerprint matching,antenna arrays,multiple antennas,radio networks,wireless localization,multilateration,3-dimensional movements,indoor radio,stability,fading,fingerprint recognition,radar,antenna theory,antennas,testing,signal strength,3 dimensional,accuracy,stability analysis
Radar,Telecommunications,Wireless,Computer science,Fingerprint recognition,Real-time computing,Fingerprint,Mobile device,Ranging,Multilateration,Percentile,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-1776-6
13
0.86
References 
Authors
10
4
Name
Order
Citations
PageRank
Konstantinos Kleisouris1937.53
Yingying Chen22495193.14
Jie Yang3160583.06
Richard P. Martin41777165.29