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 :
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