DocumentCode
2237852
Title
A recursive model for the field strength prediction with neural networks
Author
Wölfle, G. ; Landstorfer, F.M.
Author_Institution
Stuttgart Univ., Germany
Volume
2
fYear
1997
fDate
14-17 Apr 1997
Firstpage
174
Abstract
A new model for the field strength prediction for mobile communication networks inside buildings is presented. The model consists of a neural network, trained with measurements and combines the advantages of empirical models (short computation time) with the advantages of deterministic models (waveguiding). The prediction results compare favourably with measurements
Keywords
land mobile radio; PCS; buildings; deterministic models; empirical models; field strength prediction; measurements; mobile communication networks; neural networks; personal communication systems; radiowave propagation; recursive model; short computation time; waveguiding; wireless LAN;
fLanguage
English
Publisher
iet
Conference_Titel
Antennas and Propagation, Tenth International Conference on (Conf. Publ. No. 436)
Conference_Location
Edinburgh
ISSN
0537-9989
Print_ISBN
0-85296-686-5
Type
conf
DOI
10.1049/cp:19970357
Filename
606961
Link To Document