摘要
Three-layerAdaptiveBack-PropagationNeuralNetworks(TABPNN)areemployedforthedemodulationofspreadspectrumsignalsinamultiple-accessenvironment.Aconfigurationemployingthree-layeradaptiveBack-propagationneuralnetworksisputforwardforthedemodulationofspread-spectrumsignalsinasynchronousGaussianchannels.Thetheoreticalargumentsandpracticalperformancebasedontheneuralnetworksareanalyzed.Theresultsshowthatwhethertheresistancetothemultipleaccessinterferenceortherobusttonear-fareffects,theproposeddetectorsignificantlyoutperformsnotonlytheconventionaldetectorbutalsotheBPneuralnetworksdetectorandiscomparabletotheoptimumdetector.
出版日期
2003年01月11日(中国期刊网平台首次上网日期,不代表论文的发表时间)