Title :
Blind DFE with parametric entropy-based feedback
Author :
Krstic, Vladimir R. ; Dukic, Miroslav L.
Author_Institution :
Mihailo Pupin Inst., Univ. of Belgrade, Belgrade, Serbia
Abstract :
This paper considers the blind decision feedback equalizer for quadrature amplitude modulation (QAM) systems and proposes the optimization method of parametric stochastic gradient algorithms particularly derived for its entropy-based feedback filter. The optimization method is based on the fact that the “slope” of applied parametric complex-valued nonlinearity can be adjusted to the unknown probability distribution of an input intersymbol interference to respond with a maximum entropy output. The parametric optimization is achieved for 16-, 32- and 64-QAM signals.
Keywords :
decision feedback equalisers; entropy; feedback; filtering theory; gradient methods; interference suppression; intersymbol interference; optimisation; quadrature amplitude modulation; statistical distributions; stochastic processes; QAM signal; blind DFE; decision feedback equalizer; entropy output; intersymbol interference; parametric complex valued nonlinearity; parametric entropy-based feedback filter; parametric optimization method; parametric stochastic gradient algorithms; quadrature amplitude modulation; unknown probability distribution; Convergence; Decision feedback equalizers; Entropy; Filtering theory; Neurons; Quadrature amplitude modulation; Signal processing algorithms; Blind equalization; decision feedback equalizer; joint entropy criterion; soft feedback filter;
Conference_Titel :
Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS), 2013 11th International Conference on
Conference_Location :
Nis
Print_ISBN :
978-1-4799-0899-8
DOI :
10.1109/TELSKS.2013.6704422
