Title
Location estimation of radio transmitters based on spatial interpolation of RSS values
Abstract
Detection of potential transmitters' location is one of the vital aspects for efficient practical deployment of secondary spectrum access solutions. It requires accurate and up-to-date radio environmental estimation. Spatial interpolation techniques can allow partial or complete insight into the radio field, the interference and the possible geo-locations of various field transmitters depending on the number of radio measurements performed in sparse locations. This paper presents an effective solution based on spatially interpolated Received Signal Strength (RSS) values for location estimation of radio transmitters, which operates on Radio Interference Field (RIF) maps obtained by interpolating measurement data from N sparsely distributed sensors. In contrast to the known range based localization methods the developed technique also achieves higher computational efficiency. The performance analysis shows that the proposed method is suitable for both outdoor and indoor environments and is capable of reliable detection of multiple sources even for low number of sensors.
Year
DOI
Venue
2012
10.4108/icst.crowncom.2012.248454
Cognitive Radio Oriented Wireless Networks and Communications
Keywords
Field
DocType
cognitive radio,interpolation,radio transmitters,radiofrequency interference,RSS value spatial interpolation technique,computational efficiency,field transmitters,geo-locations,indoor environment,location estimation,multiple-source detection reliability,outdoor environment,practical deployment,radio interference field,radio measurements,radio transmitters,range-based localization method,secondary spectrum access solution,sparse locations,sparsely-distributed sensors,spatially-interpolated received signal strength values,transmitter location detection,up-to-date radio environmental estimation,Cognitive radio,Interpolation,Localization,Radio intereference field
Transmitter,Software deployment,Multivariate interpolation,Interpolation,Electromagnetic interference,Electronic engineering,Interference (wave propagation),Geography,RSS,Cognitive radio
Conference
ISSN
ISBN
Citations 
2166-5370 E-ISBN : 978-1-936968-55-8
978-1-936968-55-8
2
PageRank 
References 
Authors
0.42
5
4
Name
Order
Citations
PageRank
Valentin Rakovic120.42
Marko Angjelicinoski220.42
Atanasovski, V.3382.40
Gavrilovska, L.4423.74