DocumentCode
2002176
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
fYear
2008
fDate
7-9 May 2008
Firstpage
451
Lastpage
454
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISWPC.2008.4556248
Filename
4556248
Link To Document