Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/102813
Type: Artigo de evento
Title: Immune-inspired Dynamic Optimization For Blind Spatial Equalization In Undermodeled Channels
Author: Junqueira C.
De Franca F.O.
Attux R.R.F.
Panazio C.M.
De Castro L.N.
Von Zuben F.J.
Romano J.M.T.
Abstract: In this work, we propose an evolutionary-like approach to the problem of blind adaptive spatial filtering that is based on the decision-directed criterion and on the doptaiNet, an artificial immune network conceived to perform multimodal search in dynamic environments. The proposal was tested under static and time-varying undermodeled channel models, and, in all cases, its ability to find and track a solution close to the Wiener global optimum was attested. The obtained results reveal that the dopt-aiNet may decisively enhance the performance of adaptive arrays in scenarios built from elements that are representative of some aspects of real-world communication systems. © 2006 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-34547353478&partnerID=40&md5=4289829df206a762c12a0b05bc047629
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-34547353478.pdf316.9 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.