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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.
In order to suppress the peak-to-average power ratio in coherent Orthogonal Frequency Division Multiplexing (OFDM) systems, the bat algorithm is used to optimize the phase of the system subcarriers.At the same time, the bat algorithm is easy to fall into the local optimum and the convergence accuracy is poor, The bat’s self-learning part is added to the bat’s speed updating formula, and the inertia weight and learning factor are introduced to ensure the convergence speed of the algorithm as much as possible to improve the convergence accuracy of the algorithm and prevent the premature convergence of the algorithm. The simulation experiment of quadrature amplitude modulation and 100Gb / s coherent optical Orthogonal Frequency Division Multiplexing (OFDM) system is carried out. The simulation results show that the improved algorithm has better searching ability and higher search precision, and makes Orthogonal Frequency Division Multiplexing The peak average power ratio of the signal is reduced 5.48dB, compared with the bat algorithm reduced 0.52dB, the improved algorithm of the peak average power ratio suppression performance has been further improved.