Blind search for optimal Wiener equalizers using an artificial immune network model

Authors:
Romis Ribeiro de Faissol Attux;Murilo Bellezoni Loiola;Ricardo Suyama;Leandro Nunes de Castro;Fernando José Von Zuben;João Marcos Travassos Romano
Affiliations:
DSPCOM, DECOM, FEEC, State University of Campinas, Campinas, SP, Brazil;DSPCOM, DECOM, FEEC, State University of Campinas, Campinas, SP, Brazil;DSPCOM, DECOM, FEEC, State University of Campinas, Campinas, SP, Brazil;DCA, FEEC, State University of Campinas, Campinas, SP, Brazil;DCA, FEEC, State University of Campinas, Campinas, SP, Brazil;DSPCOM, DECOM, FEEC, State University of Campinas, Campinas, SP, Brazil
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2003

Citing 6
Cited 2

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Adaptive filter theory (3rd ed.)

Adaptive filter theory (3rd ed.)
Swarm intelligence

Swarm intelligence
Artificial Immune Systems: A New Computational Intelligence Paradigm

Artificial Immune Systems: A New Computational Intelligence Paradigm
An analysis of constant modulus receivers

IEEE Transactions on Signal Processing
Learning and optimization using the clonal selection principle

IEEE Transactions on Evolutionary Computation

Application of natural computing algorithms to maximum likelihood estimation of direction of arrival

Signal Processing
Blind source separation of post-nonlinear mixtures using evolutionary computation and order statistics

ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation

Quantified Score

Hi-index	0.01

Visualization

Abstract

This work proposes a framework to determine the optimal Wiener equalizer by using an artificial immune network model together with the constant modulus (CM) cost function. This study was primarily motivated by recent theoretical results concerning the CM criterion and its relation to the Wiener approach. The proposed immune-based technique was tested under different channel models and filter orders, and benchmarked against a procedure using a genetic algorithm with niching. The results demonstrated that the proposed strategy has a clear superiority when compared with the more traditional technique. The proposed algorithm presents interesting features from the perspective of multimodal search, being capable of determining the optimal Wiener equalizer in most runs for all tested channels.