建立了针对大气湍流时变信道的盲均衡系统模型.基于无线光副载波四相相移键控调制,在不同光强起伏方差下分析了两种自适应盲均衡算法的收敛性、稳定性和均方误差,对比了均衡前后星座图改善效果.结果表明:随着湍流强度的增加,变步长恒模算法较固定步长恒模算法收敛快、均方误差小,但其稳定性差,且比例因子逐渐减小算法才能收敛.探测器接收的信号经过两种盲均衡器后星座图聚敛性均得到有效改善.在相同信噪比下湍流信道与高斯信道相比,湍流信道算法迭代步长因子和比例因子取值较小才可收敛,均方误差大.两种盲均衡算法可有效改善湍流信道下星座图聚敛性,对提高无线光接收端星座图检测率具有一定的意义.
Blind equalization system model is established with atmospheric turbulence time-varying channel. Under different scintillation distribution conditions, performances of two kinds of adaptive blind equalization algorithms are compared such as convergence, mean square error (MSE) and stability, and clustering in constellation of wireless optical subcarrier signal are analyzed. With the increasing of turbulence intensity, variable step-size constant modulus algorithm (CMA) algorithm based MSE has faster convergence, smaller MSE but poor stability, and scale factor must be decreased to ensure convergence compared with CMA algorithm. Meanwhile, compared with Gaussian channel, under the same signal-to-noise ratio, iterative step length factor and scale factor under the turbulence channel is smaller, but mean square error is bigger than in Gaussian channel. The simulation results show that two kinds of algorithms can effectively improve the convergence of constellation diagram, and have important significance in improving detection rate of constellation diagram.