摘要
本文提出了盲均衡的一种快速算法 .该方法与通常的盲均衡算法有着本质的区别 ,它不需要使用代价函数 ,也就不需要一个最小化代价函数的算法 ,从而避免了一些盲均衡器不能全局收敛的问题 .本算法基于信道输入信号的一些先验的统计知识 ,并充分运用了信道输入序列与信道输出观测序列之间的关系 .新算法主要的运算为比较运算 ,只用到了少量的乘、加运算 。
In this paper,we proposed a fast algorithm for blind equalization.This algorithm is essentially different from usual ones for blind equalization in the sense that it does not resort to any merit function and corresponding minimization algorithm so that it completely avoids the difficulty of global convergence.The new algorithm is based on a priori knowledge of some statistical properties of the channel input sequence and fully uses the relation between the channel input sequence and the observed output sequence.It only uses operations for comparison and few multiplication and addition so that the computational costs are much lower than that of usual blind equalization algorithms.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第7期1212-1215,共4页
Acta Electronica Sinica
基金
国家重点基础研究发展规划项目资助 (No .G1 9990 32 80 5)
关键词
盲均衡
代价函数
全局收敛
equalization
cost function
global convergence
