Adaptive blind equalization algorithm using a decision feedback recurrent neural network in mode-division multiplex systems

Melbourne, VIC(2014)

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摘要
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.
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关键词
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,publishing,commissioning,academic research
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