Signal estimation with neural networks for multipath mobile communications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper deals with signal estimation in multipath fading channels. Multipath fading is a significant problem in wireless communications systems and may occur whenever there is more than one path from a transmitter to the intended receiver. One method of addressing this task is to implement a RAKE receiver. However, this requires estimates of tap weights based on characteristics of the channel model. Within limited environments the multipath characteristics of a channel may exhibit little variation over time. Under these conditions a neural network can be employed to learn the tap weights. This paper illustrates the use of neural networks in solving this problem and presents results from simulations.

Original languageEnglish (US)
Title of host publication1997 IEEE International Conference on Neural Networks, ICNN 1997
Pages138-141
Number of pages4
DOIs
StatePublished - Dec 1 1997
Event1997 IEEE International Conference on Neural Networks, ICNN 1997 - Houston, TX, United States
Duration: Jun 9 1997Jun 12 1997

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume1
ISSN (Print)1098-7576

Other

Other1997 IEEE International Conference on Neural Networks, ICNN 1997
CountryUnited States
CityHouston, TX
Period6/9/976/12/97

All Science Journal Classification (ASJC) codes

  • Software

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