A multiplier-simplified adaptive channel equalization scheme is proposed for short-reach digital coherent optical transmission.The data processing is based on hardware-efficient logic,such as a shifter and adder unit,...A multiplier-simplified adaptive channel equalization scheme is proposed for short-reach digital coherent optical transmission.The data processing is based on hardware-efficient logic,such as a shifter and adder unit,rather than a conventional multiplier.Through the offline experiment,the performances of 64 Gbaud polarization division multiplexed(PDM)quadrature phase shift keying(QPSK),16-quadrature amplitude modulation(16QAM),and 64-quadrature amplitude modulation(64QAM)are verified.Typically,in 10.8 km standard single-mode fiber transmission,the 64 Gbaud PDM-16QAM performance penalty can be limited to less than 0.2 dB by the proposed adaptive channel equalization,compared with the conventional method.Furthermore,based on our 10 Gb/s real-time coherent optical transceiver,we demonstrate the feasibility of a field-programmable gate array.Using a reasonable number of logical units,the performance of the proposed scheme is shown to be close to that of the conventional method.展开更多
This work proposes an improved inertia weight update method and position update method in Particle Swarm Optimization (PSO) to enhance the convergence and mean square error of channel equalizer. The search abilities o...This work proposes an improved inertia weight update method and position update method in Particle Swarm Optimization (PSO) to enhance the convergence and mean square error of channel equalizer. The search abilities of PSO are managed by the key parameter Inertia Weight (IW). A higher value leads to global search whereas a smaller value shifts the search to local which makes convergence faster. Different approaches are reported in literature to improve PSO by modifying inertia weight. This work investigates the performance of the existing PSO variants related to time varying inertia weight methods and proposes new strategies to improve the convergence and mean square error of channel equalizer. Also the position update method in PSO is modified to achieve better convergence in channel equalization. The simulation presents the enhanced performance of the proposed techniques in transversal and decision feedback models. The simulation results also analyze the superiority in linear and nonlinear channel conditions.展开更多
基金supported by the National Natural Science Foundation of China(Nos.62205166 and U21A20454)the Key Research and Development Project in Hubei Province(No.2022BAA002)+1 种基金the Major Key Project of PCL,the Natural Science Foundation of Hubei Province(No.2022CFB339)the Young Top-Notch Talent Cultivation Program of Hubei Province。
文摘A multiplier-simplified adaptive channel equalization scheme is proposed for short-reach digital coherent optical transmission.The data processing is based on hardware-efficient logic,such as a shifter and adder unit,rather than a conventional multiplier.Through the offline experiment,the performances of 64 Gbaud polarization division multiplexed(PDM)quadrature phase shift keying(QPSK),16-quadrature amplitude modulation(16QAM),and 64-quadrature amplitude modulation(64QAM)are verified.Typically,in 10.8 km standard single-mode fiber transmission,the 64 Gbaud PDM-16QAM performance penalty can be limited to less than 0.2 dB by the proposed adaptive channel equalization,compared with the conventional method.Furthermore,based on our 10 Gb/s real-time coherent optical transceiver,we demonstrate the feasibility of a field-programmable gate array.Using a reasonable number of logical units,the performance of the proposed scheme is shown to be close to that of the conventional method.
文摘This work proposes an improved inertia weight update method and position update method in Particle Swarm Optimization (PSO) to enhance the convergence and mean square error of channel equalizer. The search abilities of PSO are managed by the key parameter Inertia Weight (IW). A higher value leads to global search whereas a smaller value shifts the search to local which makes convergence faster. Different approaches are reported in literature to improve PSO by modifying inertia weight. This work investigates the performance of the existing PSO variants related to time varying inertia weight methods and proposes new strategies to improve the convergence and mean square error of channel equalizer. Also the position update method in PSO is modified to achieve better convergence in channel equalization. The simulation presents the enhanced performance of the proposed techniques in transversal and decision feedback models. The simulation results also analyze the superiority in linear and nonlinear channel conditions.
