Multiobjective evolutionary algorithm for DS-CDMA pseudonoise sequence design in a multiresolutive acquisition

Rosa Maria Alsina Pagès, Lluís Formiga Fanals, Joan Claudi Socoró Carrié, Ester Bernadó Mansilla

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

In DS-CDMA communications, pseudonoise sequence sets must fulfil crosscorrelation and autocorrelation minimization properties in order to minimize multiuser interference and improve the probability of acquisition. When a multiresolutive acquisition scheme is to be used [3] the pseudonoise sequences (PN) have to satisfy more strict constraints for achieving proper acquisition performance. In this paper we present a multiobjective evolutionary algorithm to design a set of pseudonoise sequences meeting all the constraints that the receiver of DS-CDMA communication system demands. The new pseudonoise sequence set accomplishes not only the basic pseudorandom waveform properties but also the new crosscorrelation and autocorrelation features required by the multiresolutive structure, obtaining better results in terms of crosscorrelation and stability. This way a better trade off between mean acquisition time and computational requirements can be achieved regarding traditional adquisition schemes.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development
Pàgines384-391
Nombre de pàgines8
Estat de la publicacióPublicada - 2007
Esdeveniment10th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2007 - Sant Julia de Loria, Andorra
Durada: 25 d’oct. 200726 d’oct. 2007

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Volum163
ISSN (imprès)0922-6389

Conferència

Conferència10th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2007
País/TerritoriAndorra
CiutatSant Julia de Loria
Període25/10/0726/10/07

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