摘要
CMA-DFE盲均衡算法在时变信道中有着广泛的应用.针对CMA-DFE盲均衡算法的缺点,提出一种改进型CMA-DFE盲均衡算法.该算法把CMA-DFE盲均衡算法中前馈滤波器和反馈滤波器更新方程中的迭代步长由原来的固定值改成可变值,从而进一步提高了CMA-DFE盲均衡算法的收敛性.仿真实验结果表明,与CMA-DFE盲均衡算法相比,改进型CMA-DFE盲均衡算法具有更好的均衡效果和收敛性能.
CMA-DFE blind equalization algorithm is widely used in time-varying channel. According to the disadvantages of CMA-DFE blind equalization algorithm, a modified CMADFE blind equalization algorithm is proposed. The proposed algorithm changes the iteration step length in renewal equation of feedforward filter and feedback filter in CMA-DFE blind equalization algorithm from fixed value to variable value,which further improves the conver- gence of CMA-DFE blind equalization algorithm. The simulation results show that the equalization effect and convergence performance of modified CMA-DFE blind equalization algorithm are better than those of CMA-DFE blind equalization algorithm.
出处
《陕西科技大学学报(自然科学版)》
2009年第4期112-116,共5页
Journal of Shaanxi University of Science & Technology
关键词
盲均衡
码间干扰
随机梯度算法
常数模算法
判决反馈均衡
blind equalization
inter symbol interference
stochastic gradient algorithm
constant modulus algorithm
decision feedback equalization