Title :
Geo-location in urban areas using signal strength repeatability
Author_Institution :
Telcordia Technol., Red Bank, NJ, USA
Abstract :
We propose a new approach to geo-location of cellular mobile subscribers that exploits the structure and repeatability of certain patterns of measured signal strength. With careful selection of the locations of the patterns, and appropriate training measurements, geo-location in urban areas could be based on pattern recognition. Simulation results lead to the conclusion that very reliable geo-location techniques could be developed based on this approach.
Keywords :
cellular radio; pattern classification; pattern recognition; radio direction-finding; cellular mobile subscribers; geo-location; measured signal strength patterns; nearest neighbor pattern classification; pattern recognition; signal strength repeatability; simulation results; training measurements; urban areas; Area measurement; Base stations; Fading; Global Positioning System; Large-scale systems; Pattern recognition; Rayleigh channels; Scattering; Shape; Urban areas;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.957378
