基于Parzen窗方法概率密度函数盲均衡算法比恒模算法具有更好的性能,但一样会出现随机相位旋转现象.利用最大后验概率准则中的相位信息,讨论一种基于Parzen窗方法概率密度函数的并行软方向判决盲均衡算法.高阶QAM调制信号仿真结果表明,算法克服了输出信号出现的随机相位旋转现象,并且算法的收敛速度较PPDF算法快,收敛后均衡器输出的稳态码间干扰也较小. The Blind Equalization algorithm based on Parzen window method has better performance than the Constant Modulus algorithm, but the same random phase rotation phenomenon appears.Using the phase information in the Maximum A Posteriori Probability Criterion, a method based on the Parzen window probability density function The parallel blind direction decision blind equalization algorithm.The simulation results of high-order QAM modulation signal show that the algorithm overcomes the random phase rotation phenomenon of the output signal, and the convergence speed of the algorithm is faster than the PPDF algorithm, the steady state code output by the equalizer after the convergence Interference is also small.