DocumentCode :
1796029
Title :
Adaptive blind equalization algorithm using a decision feedback recurrent neural network in mode-division multiplex systems
Author :
Chaoran Tu ; Yan Li ; Wentao Du ; Xin Zhang ; Jian Wu ; Wei Li ; Rongqing Hui ; Jintong Lin
Author_Institution :
State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2014
fDate :
6-10 July 2014
Firstpage :
699
Lastpage :
701
Abstract :
Adaptive blind MIMO equalization algorithm adopting decision feedback recurrent neural network(DFRNN) is proposed and investigated in 4 × 56 Gbit/s MDM-QPSK system. The required-data-length of DFRNN is 1/3 of that in CMA with similar performance.
Keywords :
MIMO communication; adaptive equalisers; blind equalisers; decision feedback equalisers; optical fibre communication; quadrature phase shift keying; recurrent neural nets; CMA; DFRNN; MDM-QPSK system; MIMO; adaptive blind equalization algorithm; constant modulus algorithm; decision feedback recurrent neural network; mode-division multiplex systems; multiple input multiple output; quadrature phase shift keying; Bit error rate; Couplings; MIMO; Neurons; Optical noise; Signal processing algorithms; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optical Fibre Technology, 2014 OptoElectronics and Communication Conference and Australian Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
Filename :
6888236
Link To Document :
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