Artículos de revistas
Blind search for optimal Wiener equalizers using an artificial immune network model
Registro en:
Eurasip Journal On Applied Signal Processing. Hindawi Publishing Corporation, v. 2003, n. 8, n. 740, n. 747, 2003.
1110-8657
WOS:000184992900003
Autor
Attux, RRD
Loiola, MB
Suyama, R
de Castro, LN
Von Zuben, FJ
Romano, JMT
Institución
Resumen
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. 2003 8 740 747