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基于独立成分分析法(ICA)能够实现偏振复用相干光正交频分复用(PDM-CO-OFDM)系统的盲信道均衡,与基于导频的信道均衡方法相比,能极大提高系统的频谱利用率。然而这种固定步长的ICA算法对每个子载波采用迭代算法来计算信道频率响应分离矩阵,需要经过几十次迭代才能收敛。为有效降低该算法的计算复杂度,提出一种基于自适应步长ICA的盲信道均衡算法,采用自适应分离步长提高迭代算法的收敛速度。基于100 Gb/s 16进制正交振幅调制(16 QAM)PDM-CO-OFDM系统,仿真实验表明该自适应算法的系统误码率性能优于固定步长ICA算法的结果,且收敛速度提高5倍以上,能够用于未来高速PDM-CO-OFDM系统接收端进行高效信道均衡。
Blind channel equalization based on Independent Component Analysis (ICA) can achieve polarization-multiplexed Coherent Optical Orthogonal Frequency Division Multiplexing (PDM-CO-OFDM) systems, which can greatly improve the system performance compared with the pilot-based channel equalization Of the spectrum utilization. However, this fixed-step ICA algorithm uses an iterative algorithm for each subcarrier to calculate the channel frequency response separation matrix, which requires several tens of iterations to converge. In order to reduce the computational complexity of this algorithm effectively, a blind channel equalization algorithm based on adaptive step size ICA is proposed. The adaptive step size is used to improve the convergence speed of iterative algorithm. Based on the 100 Gb / s 16 Quadrature Amplitude Modulation (16 QAM) PDM-CO-OFDM system, the simulation results show that the performance of the adaptive algorithm is better than that of the fixed-step ICA algorithm and the convergence speed is improved 5 times more, can be used for the future high-speed PDM-CO-OFDM system receiver for efficient channel equalization.