Adaptive decision feedback equalization for filter bank based multicarrier systems

In this work we present a per-subchannel nonlinear adaptive equalizer for a class of filter bank based multicarrier (FBMC) systems. We consider the class of exponentially modulated FBMCs with offset quadrature amplitude modulated (OQAM) input symbols. We present a fractionally spaced adaptive decisi...

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Bibliographic Details
Published in2009 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 2794 - 2797
Main Authors Waldhauser, D.S., Baltar, L.G., Nossek, J.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Adaptive equalizers
Amplitude modulation
Bandwidth
Computational complexity
Computational modeling
Decision feedback equalizers
Filter bank
Least squares approximation
OFDM
Quadrature amplitude modulation
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ISBN1424438276
9781424438273
ISSN0271-4302
DOI10.1109/ISCAS.2009.5118382

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Summary:In this work we present a per-subchannel nonlinear adaptive equalizer for a class of filter bank based multicarrier (FBMC) systems. We consider the class of exponentially modulated FBMCs with offset quadrature amplitude modulated (OQAM) input symbols. We present a fractionally spaced adaptive decision feedback equalizer (DFE) based on the least-mean-square (LMS) algorithm. The input of each equalizer comprises only the output of each subchannel. In the simulation results we show that, despite its increased computational complexity, the performance and higher bandwidth efficiency of OQAM FBMC systems makes them a competitive alternative to conventional multicarrier systems like cyclic prefix based orthogonal frequency division multiplexing (CP-OFDM).
ISBN:1424438276
9781424438273
ISSN:0271-4302
DOI:10.1109/ISCAS.2009.5118382