几种盲均衡算法的比较及仿真研究

摘要

以新兴的盲均衡技术为理论基础,一些盲均衡算法相继提出。本文以高阶的QAM信号作为输入信号,针对常模算法、多模算法、加权多模算法存在的缺陷,最终引入一种性能优越的加入动量项的加权多模算法。通过计算机的仿真实验首次对这些算法进行依次比较,所得实验结果表明加入动量项的加权多模盲均衡算法在信道均衡上的性能明显优于前面几种算法,它具有更快的收敛速度和更小的稳态误差,因此具有实用价值。%Several blind equalization algorithms are introduced based on the rising blind equalization technology.The high-order QAM signal is choosed as the input signal in this paper,according to the drawbacks of the Constant Modulus Algorithm.Multi-Modulus Algorithm and weighted Multi-Modulus Algorithm.Finally the weighted Multi-Modulus Algorithm with momentum,which has superior performance,is introuduced.Through the computer simulation experiments,we compare the several algorithms in turn for the first time and get some inclusions,weighted Multi-Modulus Algorithm with momentum is better than the other algorithms in performance,it has the faster convergence speed and smaller steady-state error,so it has practical value.