Title :
Use of neural networks for design of geolocation system in indoor applications
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; Brownian motion; Monte Carlo method; antenna optimal position; geolocation system; indoor application; neural network; radio station; Acoustic reflection; Base stations; Neural networks; Noise figure; Object detection; Performance evaluation; Position measurement; Radiofrequency identification; Resilience; Transponders; Brownian motion; indoor geolocation; neural network; resilience phenomenon;
Conference_Titel :
Wireless Pervasive Computing, 2008. ISWPC 2008. 3rd International Symposium on
Conference_Location :
Santorini
Print_ISBN :
978-1-4244-1652-3
Electronic_ISBN :
978-1-4244-1653-0
DOI :
10.1109/ISWPC.2008.4556248
