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针对固定步长恒模盲均衡算法在收敛速度和稳态剩余误差之间存在的问题,在应用变步长的思想基础上,利用均方误差的变换作为控制步长的因子,提出了一种新的自适应时变步长恒模盲均衡算法(VASCMA)。对新算法进行了理论分析和计算机仿真,仿真时采用两种不同的调制信号通过三种不同信道,得到两种算法的均方误差的收敛曲线和收敛后均衡器输出的星座图,仿真结果均表明,改进算法具有较快的收敛速度和较小的剩余误差。
Aiming at the problem that the constant-step blind constant-modulus blind equalization algorithm has the problem of convergence speed and steady-state residual error, based on the idea of variable step-size, using the transformation of mean square error as the factor of control step, New adaptive time varying step constant modulus blind equalization algorithm (VASCMA). The theoretical analysis and computer simulation of the new algorithm are carried out. Two different modulation signals are used to pass the three different channels in the simulation. The mean square error convergence curve of the two algorithms and the output constellation of the equalizer are obtained. The simulation results It shows that the improved algorithm has faster convergence rate and smaller residual error.