NDLI: An MC-CDMA signal equalization and detection scheme based on support vector machines

Content Provider	IEEE Xplore Digital Library
Author	Rahman, S.A. Saito, M. Okada, M. Yamamoto, H.
Copyright Year	2004
Description	Author affiliation: UPM-MTDC, Selangor, Malaysia (Rahman, S.A.)
Abstract	In this paper, we propose a novel nonlinear signal equalization and detection scheme applying the support vector machine (SVM) technique for downlink multicarrier code division multiple access (MC-CDMA) systems. The SVM is gaining popularity in the field of pattern classification due to its promising empirical performance, moderate computation complexity and its strong mathematical foundation. In the proposed scheme, the SVM-based equalizer is trained with the frequency domain received signal for the implicit frequency diversity effect. Simulations are conducted under time-varying multipath fading channel to verify the effectiveness of the proposed scheme in the presence of multiuser interference (MUI) and inter-channel interference (ICI), two major impairments that severely degrade the performance of MC-CDMA systems employing conventional linear equalizers. Simulation results confirmed that the proposed scheme effectively mitigates MUI and ICI and outperforms conventional linear equalizers with perfect channel estimation.
Starting Page	11
Ending Page	15
File Size	525957
Page Count	5
File Format	PDF
ISBN	0780384725
DOI	10.1109/ISWCS.2004.1407199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	Mauritius
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Multicarrier code division multiple access Equalizers Support vector machine classification Pattern classification Downlink Frequency diversity Interchannel interference Signal detection Frequency domain analysis
Content Type	Text
Resource Type	Article

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