Blind Search for Optimal Wiener EqualizersUsing an Artificial Immune Network Model

EURASIP Journal on Advances in Signal Processing

卷:2003

关键词: blind equalization;    constant modulus algorithm;    evolutionary computation;    artificial immune systems;    immune network model.;   

DOI  :  10.1155/S1687617203303014

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown