An Introduction to Spread-Spectrum Communications
An Introduction to Spread-Spectrum Communications
Probability and Random Processes For EE's (3rd Edition)
Probability and Random Processes For EE's (3rd Edition)
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Evolution Strategies for DS-CDMA Pseudonoise Sequence Design
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
An evolutionary approach to designing complex spreading codes for DS-CDMA
IEEE Transactions on Wireless Communications
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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.