DocumentCode
105874
Title
Community RF Sensing for Source Localization
Author
Alimpertis, Emmanouil ; Fasarakis-Hilliard, Nikos ; Bletsas, Aggelos
Author_Institution
Sch. of ECE, Tech. Univ. of Crete, Chania, Greece
Volume
3
Issue
4
fYear
2014
fDate
Aug. 2014
Firstpage
393
Lastpage
396
Abstract
This work experimentally demonstrates RF source location estimation error on the order of 50 m, with received signal strength (RSS) measurements, from a network of smartphone users, within 800 m (or more) from the source. This work incorporates careful modeling of the time-varying source transmission power, source antenna directionality (even with a simple 4-parameter model) and different path loss exponents among the various source-user links. More importantly, a vast number of RSS measurements is collected and exploited through the automated community smartphone network. The proposed methodology could be extended to other wireless scenarios.
Keywords
particle filtering (numerical methods); smart phones; RF source location estimation error; RSS measurement; automated community smartphone network; community RF sensing; received signal strength measurement; source antenna directionality; source-user links; time-varying source transmission power; Antenna measurements; Atmospheric measurements; Communities; Directive antennas; Particle measurements; Radio frequency; Sensors; Localization; RF sources; RSS; community RF sensing; non-parametric estimation; particle filtering;
fLanguage
English
Journal_Title
Wireless Communications Letters, IEEE
Publisher
ieee
ISSN
2162-2337
Type
jour
DOI
10.1109/LWC.2014.2321741
Filename
6810161
Link To Document