Title :
Use of neural networks and brownian motion in local posistioning systems
Author :
Rutecki, Maciej ; Kacprzak, Tomasz
Author_Institution :
Tech. Univ. of Lodz, Lodz
Abstract :
The aim of this paper is to present new method of placing radio stations used for geolocation in indoor applications. It takes advantages of use neural networks, resilience phenomenon, Brownian motion and Monte Carlo method. This allow to significantly reduce time needed to compute optimal position of antennas, while keeping good precision of calculation.
Keywords :
Brownian motion; Monte Carlo methods; indoor radio; neural nets; radio direction-finding; telecommunication computing; Brownian motion; Monte Carlo method; geolocation; indoor radio stations; local posistioning systems; neural networks; resilience phenomenon; Acoustic reflection; Base stations; Brownian motion; Computer vision; Neural networks; Object detection; Performance evaluation; Radiofrequency identification; Resilience; Transponders; Brownian Motion; Geolocation; local positioning systems; neural networks;
Conference_Titel :
Signals and Electronic Systems, 2008. ICSES '08. International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-83-88309-47-2
Electronic_ISBN :
978-83-88309-52-6
DOI :
10.1109/ICSES.2008.4673413
