基于改进对角化算法的无线光通信码间干扰抑制方法

Inter-code interference suppression method for wireless optical communication based on improved diagonalization algorithm

由于目前已有方法未能分析大气信道对无线光通信的影响,导致误码率和稳态误差增加。为此,提出了一种基于改进对角化算法的无线光通信码间干扰抑制方法。结合改进对角化算法,组建无线光通信模型,同时分析大气中散射和湍流效应对无线光通信信号在传输过程中产生的影响。以贝叶斯理论为依据,构建无线光通信信道贝叶斯估计框架,设定联合参数为未进行估计的状态向量。通过粒子滤波(Particle Filter, PF)算法进行贝叶斯估计,实现无线光通信码间干扰抑制。对比实验证明,该方法能在250次迭代中实现快速收敛,本文获取的的误码率最低小于10,稳态误差较小,取得了较理想干扰抑制结果。

Due to the inability to analyze the influence of atmospheric channel on wireless optical communication, the error rate and steady-state error are increased. In this paper, an intersymbol interference suppression method based on improved diagonalization algorithm for wireless optical communication is proposed. Based on the improved diagonalization algorithm, the model of wireless optical communication is established, and the effect of scattering and turbulence in the atmosphere on the transmission is analyzed. Based on Bayesian theory, the Bayesian estimation framework of wireless optical communication channel is constructed, and the joint parameters are set as the unestimated state vectors. Particle filter(PF) algorithm is used for Bayesian estimation to suppress the inter-symbol interference in wireless optical communication. Comparative experiments show that the proposed method can achieve rapid convergence in 250 iterations, and the lowest code error rate is less than 10and small steady-state error, achieving optimal interference inhibition results.