基于改进蝙蝠算法的CO-OFDM系统峰均比抑制技术（英文）

PAPR Reduction Method for CO-OFDM System Based on Improved Bat Algorithm

为了抑制相干光正交频分复用系统中的峰值平均功率比,采用蝙蝠算法优化系统子载波的相位.同时针对蝙蝠算法存在的易陷入局部最优和收敛精度不高的问题,对蝙蝠算法进行改进.在蝙蝠的速度更新公式中加入蝙蝠的自我学习部分,并引入惯性权值和学习因子,在保证算法收敛速度的同时尽可能提高算法的收敛精度,防止算法出现早熟收敛情况.采用改进算法对正交幅度调制、100Gb/s的相干光正交频分复用系统进行仿真实验,仿真结果表明,改进算法有较强的搜索能力和较高的搜索精度,使正交频分复用信号的峰值平均功率比降低了5.48dB,相对于蝙蝠算法降低了0.52dB,改进算法的峰值平均功率比抑制性能得到了进一步的提高.

To reduce Peak to Average Power Ratio （PAPR） in CO-OFDM systems, bat algorithm was applied for optimizing the sub-carrier phase. Moreover, the algorithm was improved aiming at the problems that the bat algorithm is easy to fall into local optimum and has low convergence precision. In the velocity updating formula, the bat＇s self study part, the inertia weight and learning factor were introduced to ensure the algorithm convergence speed and improve the convergence precision of the algorithm at the same time as much as possible, avoiding the occurrence of premature convergence. The simulation was carried out in a 100 Gb/s, 4QAM CO-OFDM system, and the simulation results show that the improved algorithm has been obviously improved in searching ability and accuracy. The PAPR can be reduced by about 5.48 dB and 0.52 dB compared with ones of the original OFDM and the BA-OFDM, respectively. The improved algorithm shows better effects on reducing PAPR.