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