Channel Identification and Equalization based on Kernel Methods for Downlink Multicarrier-CDMA Systems

Mohammed Boutalline, Belaid Bouikhalene and Said Safi
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Mohammed Boutalline: LIRST Laboratory, Université Sultan Moulay Slimane, Beni Mellal, Morocco
Belaid Bouikhalene: LIRST Laboratory, Université Sultan Moulay Slimane, Beni Mellal, Morocco
Said Safi: LIRST Laboratory, Université Sultan Moulay Slimane, Beni Mellal, Morocco

Journal of Electronic Commerce in Organizations (JECO), 2015, vol. 13, issue 2, 14-29

Abstract: In this paper the authors are focused on channel identification and equalization for Multi-Carrier Code Division Multiple Access (MC-CDMA) system. For this, they identify the impulse response of two practical selective frequency fading channels called Broadband Radio Access Network (BRAN A and BRAN B) normalized by the European Telecommunications Standards Institute (ETSI). To identify the channel parameters, they have the positive definite kernels to build on algorithm. The simulations show that the presented method confirms the good performance for different SNR values. In part of equalization, the authors use the Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) equalizers.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jeco00:v:13:y:2015:i:2:p:14-29

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