?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F402%2F&rft.title=A+genetic+algorithm-assisted+semi-adaptive+MMSE+multi-user+detection+for+MC-CDMA+mobile+communication+systems&rft.creator=Sacchi%2C+Claudio&rft.creator=D'Orazio%2C+Leandro&rft.creator=Donelli%2C+Massimo&rft.creator=De+Natale%2C+Francesco+G.B.&rft.subject=TU+Technical+Reports+and+Publications&rft.description=In+this+work%2C+a+novel+Minimum-Mean+Squared-Error+(MMSE)+multi-user+detector+is+proposed+for+MC-CDMA+transmission+systems+working+over+mobile+radio+channels+characterized+by+time-varying+multipath+fading.+The+proposed+MUD+algorithm+is+based+on+a+Genetic+Algorithm+(GA)-assisted+per-carrier+MMSE+criterion.+The+GA+block+works+in+two+successive+steps%3A+a+training-aided+step+aimed+at+computing+the+optimal+receiver+weights+using+a+very+short+training+sequence%2C+and+a+decision-directed+step+aimed+at+dynamically+updating+the+weights+vector+during+a+channel+coherence+period.+Numerical+results+evidenced+BER+performances+almost+coincident+with+ones+yielded+by+ideal+MMSE-MUD+based+on+the+perfect+knowledge+of+channel+impulse+response.+The+proposed+GA-assisted+MMSE-MUD+clearly+outperforms+state-of-the-art+adaptive+MMSE+receivers+based+on+deterministic+gradient+algorithms%2C+especially+for+high+number+of+transmitting+users.&rft.date=2006-05&rft.type=Technical+Report&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F402%2F1%2FDIT-06-024.pdf&rft.identifier=++Sacchi%2C+Claudio+and+D'Orazio%2C+Leandro+and+Donelli%2C+Massimo+and+De+Natale%2C+Francesco+G.B.++(2006)+A+genetic+algorithm-assisted+semi-adaptive+MMSE+multi-user+detection+for+MC-CDMA+mobile+communication+systems.++%5BTechnical+Report%5D++++(Unpublished)++