MULTIPLICATIVE NEURAL NETWORK WITH SWARM INTELLIGENCE FOR MULTICARRIER TRANSMITTER

Nibaldo Rodriguez, Claudio Cubillos, Orlando Duran

2008

Abstract

In this paper, we propose a novel effective distortion compensation scheme suitably developed to reduce nonlinearities of the traveling wave tube amplifier (TWTA) in orthogonal frequency division multiplexing (OFDM) systems at the multicarrier transmitter side. This compensator is developed in order to combine in the most effective way the capability of the quantum particle swarm optimization technique and multiplicative neural networks. The compensator effectiveness has been tested through computer simulations. The improvements in the reduction of constellation warping and enhanced performance in terms of the bit error rate (BER) are offered for the TWTA with an input back-off level of 0 dB.

References

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Paper Citation


in Harvard Style

Rodriguez N., Cubillos C. and Duran O. (2008). MULTIPLICATIVE NEURAL NETWORK WITH SWARM INTELLIGENCE FOR MULTICARRIER TRANSMITTER . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 575-578. DOI: 10.5220/0001716305750578


in Bibtex Style

@conference{iceis08,
author={Nibaldo Rodriguez and Claudio Cubillos and Orlando Duran},
title={MULTIPLICATIVE NEURAL NETWORK WITH SWARM INTELLIGENCE FOR MULTICARRIER TRANSMITTER},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={575-578},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001716305750578},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - MULTIPLICATIVE NEURAL NETWORK WITH SWARM INTELLIGENCE FOR MULTICARRIER TRANSMITTER
SN - 978-989-8111-37-1
AU - Rodriguez N.
AU - Cubillos C.
AU - Duran O.
PY - 2008
SP - 575
EP - 578
DO - 10.5220/0001716305750578