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Neural Network Prediction of Radio Propagation

Date

Authors

Qiu, L

Jiang, Danchi

Hanlen, Leif

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Preliminary work for predicting signal distributions in a local area, using a feature-based neural network is presented. The neural network is trained by radio signal measurements at known positions. After appropriately setting the parameters of nodes of

Keywords

Keywords: Radio measurement; Radio signal strength distribution; Signal distributions; Virtual propagation environment; Fading channels; Local area networks; Neural networks; Parameter estimation; Signal filtering and prediction; Virtual reality; Radio transmission IEEE 802.11b; Neural networks; Radio measurement; Radio propagation

URI

http://hdl.handle.net/1885/81452

Collections

ANU Research Publications

Source

Proceedings of the 6th Australian Communications Theory Workshop 2005

Type

Conference paper

DOI

10.1109/AUSCTW.2005.1624263

Restricted until

2037-12-31

Downloads

File

Description

01_Qiu_Neural_Network_Prediction_of_2005.pdf (1.99 MB)