DocumentCode
2264683
Title
Adaptive decision feedback equalization for filter bank based multicarrier systems
Author
Waldhauser, Dirk S. ; Baltar, Leonardo G. ; Nossek, Josef A.
Author_Institution
Inst. for Circuit Theor. & Signal Process., Tech. Univ. Munchen, Munchen, Germany
fYear
2009
fDate
24-27 May 2009
Firstpage
2794
Lastpage
2797
Abstract
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).
Keywords
adaptive equalisers; channel bank filters; computational complexity; decision feedback equalisers; least squares approximations; nonlinear filters; quadrature amplitude modulation; CP-OFDM; LMS algorithm; bandwidth efficiency; computational complexity; cyclic prefix based orthogonal frequency division multiplexing; exponentially-modulated OQAM FBMC system; filter bank-based multicarrier system; fractionally-spaced DFE; least-mean-square algorithm; offset quadrature amplitude modulation; subchannel nonlinear adaptive decision feedback equalization; Adaptive equalizers; Amplitude modulation; Bandwidth; Computational complexity; Computational modeling; Decision feedback equalizers; Filter bank; Least squares approximation; OFDM; Quadrature amplitude modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location
Taipei
Print_ISBN
978-1-4244-3827-3
Electronic_ISBN
978-1-4244-3828-0
Type
conf
DOI
10.1109/ISCAS.2009.5118382
Filename
5118382
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