【作者】 朱斌； 马艳； 赵丛；

【Author】 ZHU Bin~1 MA Yan~1 ZHAO Cong~2 1(College of Marine,Northwestern Polytechnical University,Xi’an,Shannxi 710072,China) 2(School of Science,Northwestern Polytechnical University,Xi’an,Shannxi 710072,China)

【机构】 西北工业大学航海学院； 西北工业大学理学院；

【摘要】 传统反向传播(BP)算法收敛较慢,递归最小二乘反向传播(RLS—BP)算法加快了 BP 网络的收敛速度. Sato 算法是 Bussgang 类盲均衡算法的一种,本文在 Sato 算法和 RLS—BP 算法的基础上提出了一种新的信道盲均衡算法.仿真结果表明,新算法较传统 BP 算法和 Sato 算法具有更快的收敛速度,收敛后的均方误差更小,对非线性信道的均衡也有较好效果.更多还原

【Abstract】 Standard back propagation(BP)algorithm converges slowly,and the RLS-BP algorithm is faster than BP algorithm in convergence.Sato algorithm is one of Bussgang blind equalization algorithms,in this paper,we presented a new channel blind equalization algorithm based on Sato algorithm and RLS-BP algorithm.We noticed that the new algorithm accelerates the convergence,and has a less MSE than BP algorithm and Sato algorithm,also has a good effect when equalising the nonlinear channel.更多还原