TY - GEN
T1 - Multiobjective evolutionary algorithm for DS-CDMA pseudonoise sequence design in a multiresolutive acquisition
AU - Alsina Pagès, Rosa Maria
AU - Formiga Fanals, Lluís
AU - Socoró Carrié, Joan Claudi
AU - Bernadó Mansilla, Ester
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Autocorrelation
KW - CDMA
KW - Crosscorrelation
KW - Decimation
KW - Evolutionary algorithm
KW - Multiobjective
KW - Pseudonoise sequence design
UR - http://www.scopus.com/inward/record.url?scp=84878048314&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84878048314
SN - 9781586037987
T3 - Frontiers in Artificial Intelligence and Applications
SP - 384
EP - 391
BT - Artificial Intelligence Research and Development
T2 - 10th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2007
Y2 - 25 October 2007 through 26 October 2007
ER -