一种基于高阶QAM系统的多模盲均衡算法

Multi-mode blind equalization algorithm based on high-order QAM system

为了克服恒模算法(CMA)对高阶正交幅度调制(QAM)信号均衡效果较差的缺陷,基于对恒模算法(CMA)和多模算法(MMA)的研究,提出了1种将两者相结合的改进算法。该算法以恒模算法(CMA)为常规模式,待CMA算法达到初步收敛后,改用多模算法来对不同信号值采用其相对应的模值进行均衡,从而获得更小的剩余误差。计算机仿真结果表明,本文提出的串行算法在减小稳态剩余误差方面,性能有着显著的提升。

To overcome the weakness of constant modulus algorithm（CMA） for high-level QAM signal,this paper based on the constant modulus algorithm（CMA） and multi-modulus algorithm（MMA） research,proposes a two by a combination of improved algorithms.The algorithm uses CMA for the conventional model,until the CMA algorithm to achieve initial convergence,and then switch to multi-mode algorithm for different signal values using the corresponding model,resulting in a smaller residual error.Computer simulation results show that,the performance in reducing the steady-state residual error of the proposed serial algorithm has significantly improved.